A variational eigenvalue solver on a quantum processor

Abstract

Quantum computers promise to efficiently solve important problems that are intractable on a conventional computer. For quantum systems, where the dimension of the problem space grows exponentially, finding the eigenvalues of certain operators is one such intractable problem and remains a fundamental challenge. The quantum phase estimation algorithm can efficiently find the eigenvalue of a given eigenvector but requires fully coherent evolution. We present an alternative approach that greatly reduces the requirements for coherent evolution and we combine this method with a new approach to state preparation based on ansätze and classical optimization. We have implemented the algorithm by combining a small-scale photonic quantum processor with a conventional computer. We experimentally demonstrate the feasibility of this approach with an example from quantum chemistry: calculating the ground state molecular energy for He-H+, to within chemical accuracy. The proposed approach, by drastically reducing the coherence time requirements, enhances the potential of the quantum resources available today and in the near future.

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• QUARK: A Framework for Quantum Computing Application Benchmarking
• Markovian Quantum Neuroevolution for Machine Learning
• Enabling Multi-programming Mechanism for Quantum Computing in the NISQ Era
• Simulating Hadronic Physics on NISQ devices using Basis Light-Front Quantization
• Building spatial symmetries into parameterized quantum circuits for faster training
• Quantum Analytic Descent
• Reducing qubit requirements while maintaining numerical precision for the Variational Quantum Eigensolver: A Basis-Set-Free Approach
• Quantum variational optimization: The role of entanglement and problem hardness
• Simulating quantum chemistry in the seniority-zero space on qubit-based quantum computers
• Efficient quantum computation of molecular forces and other energy gradients
• Quantum algorithms for quantum dynamics: A performance study on the spin-boson model
• Quantum phase detection generalisation from marginal quantum neural network models
• Probabilistic Simulation of Quantum Circuits with the Transformer
• Variational Quantum Computation of Molecular Linear Response Properties on a Superconducting Quantum Processor
• Graph neural network initialisation of quantum approximate optimisation
• Majorana-based fermionic quantum computation
• Quantum natural gradient generalised to noisy and non-unitary circuits
• Variational Quantum Simulation for Periodic Materials
• Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze
• Overhead for simulating a non-local channel with local channels by quasiprobability sampling
• Quantum unary approach to option pricing
• Noise-Resilient Variational Hybrid Quantum-Classical Optimization
• qTorch: The Quantum Tensor Contraction Handler
• Performing SU($d$) operations and rudimentary algorithms in a superconducting transmon qudit for $d=3$ and $d=4$
• Solving Quasiparticle Band Spectra of Real Solids using Neural-Network Quantum States
• Computing Ground State Properties with Early Fault-Tolerant Quantum Computers
• Ordering of Trotterization: Impact on Errors in Quantum Simulation of Electronic Structure
• A hybrid quantum-classical approach to mitigating measurement errors
• Universal Effectiveness of High-Depth Circuits in Variational Eigenproblems
• Benchmarking quantum co-processors in an application-centric, hardware-agnostic and scalable way
• Light-Front Field Theory on Current Quantum Computers
• Robust resource-efficient quantum variational ansatz through evolutionary algorithm
• A Roadmap for Automating the Selection of Quantum Computers for Quantum Algorithms
• Nuclear shell-model simulation in digital quantum computers
• A quantum walk assisted approximate algorithm for bounded NP optimisation problems
• Error propagation in NISQ devices for solving classical optimization problems
• TETRIS-ADAPT-VQE: An adaptive algorithm that yields shallower, denser circuit ansätze
• Conceptual understanding through efficient inverse-design of quantum optical experiments
• Quantum Computing: An Overview Across the System Stack
• Entangled multiplets and unusual spreading of quantum correlations in a continuously monitored tight-binding chain
• Initial state preparation for quantum chemistry on quantum computers
• Benchmarking adaptive variational quantum eigensolvers
• Simulating Open Quantum System Dynamics on NISQ Computers with Generalized Quantum Master Equations
• Quantum computation of molecular response properties
• Abrupt Transitions in Variational Quantum Circuit Training
• Chemistry on quantum computers with virtual quantum subspace expansion
• A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
• Optimized Low-Depth Quantum Circuits for Molecular Electronic Structure using a Separable Pair Approximation
• Variational Quantum Algorithm for Non-equilibrium Steady States
• Variational quantum simulations of stochastic differential equations
• On the order problem in construction of unitary operators for the Variational Quantum Eigensolver
• Low depth mechanisms for quantum optimization
• Non-unitary operations for ground-state calculations in near term quantum computers
• Measurement Error Mitigation for Variational Quantum Algorithms
• Quantum simulation of quantum field theories as quantum chemistry
• QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation
• Qubit-efficient encoding scheme for quantum simulations of electronic structure
• Contextuality Test of the Nonclassicality of Variational Quantum Eigensolvers
• Solving hadron structures using the basis light-front quantization approach on quantum computers
• A Quantum Algorithm to Calculate Band Structure at the EOM Level of Theory
• Progress toward favorable landscapes in quantum combinatorial optimization
• Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm
• Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
• Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries
• Detecting and quantifying entanglement on near-term quantum devices
• Analytical nonadiabatic couplings and gradients within the state-averaged orbital-optimized variational quantum eigensolver
• Resolving Correlated States of Benzyne on a Quantum Computer with an Error-Mitigated Quantum Contracted Eigenvalue Solver
• An efficient adaptive variational quantum solver of the Schrodinger equation based on reduced density matrices
• Local readout and control of current and kinetic energy operators in optical lattices
• Natural Evolutionary Strategies for Variational Quantum Computation
• Quantum Machine-Learning for Eigenstate Filtration in Two-Dimensional Materials
• Variational learning for quantum artificial neural networks
• Validating Quantum-Classical Programming Models with Tensor Network Simulations
• Qubit-efficient encoding schemes for binary optimisation problems
• Minimum Hardware Requirements for Hybrid Quantum-Classical DMFT
• Imaginary Time Propagation on a Quantum Chip
• Amplitude estimation via maximum likelihood on noisy quantum computer
• Challenges of variational quantum optimization with measurement shot noise
• Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack
• Simulating the electronic structure of spin defects on quantum computers
• Variational quantum eigensolvers for sparse Hamiltonians
• Machine learning \& artificial intelligence in the quantum domain
• Molecular spin qudits for quantum simulation of light-matter interactions
• Variational Quantum Algorithms for Dimensionality Reduction and Classification
• Variational quantum algorithm for molecular geometry optimization
• Construction of Green's functions on a quantum computer: applications to molecular systems
• A variational quantum eigensolver for dynamic correlation functions
• A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding
• Expressibility and trainability of parameterized analog quantum systems for machine learning applications
• Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network
• Ancilla-free implementation of generalized measurements for qubits embedded in a qudit space
• Quantum autoencoders with enhanced data encoding
• Multi-class quantum classifiers with tensor network circuits for quantum phase recognition
• Optimal control of superconducting gmon qubits using Pontryagin's minimum principle: preparing a maximally entangled state with singular bang-bang protocols
• Quantum Architecture Search: A Survey
• Mitigating Barren Plateaus with Transfer-learning-inspired Parameter Initializations
• Practical distributed quantum information processing with LOCCNet
• Large-scale quantum approximate optimization on non-planar graphs with machine learning noise mitigation
• Orbital transformations to reduce the 1-norm of the electronic structure Hamiltonian for quantum computing applications
• Lattice Renormalization of Quantum Simulations
• Quantum computing for chemistry and physics applications from a Monte Carlo perspective
• Learning efficient decoders for quasi-chaotic quantum scramblers
• Microcanonical and finite temperature ab initio molecular dynamics simulations on quantum computers
• Hybrid quantum-classical neural network for calculating ground state energies of molecules
• The Impact of Hardware Specifications on Reaching Quantum Advantage in the Fault Tolerant Regime
• Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems
• Symmetry enhanced variational quantum spin eigensolver
• Quantum simulations of excited states with active-space downfolded Hamiltonians
• Hong-Ou-Mandel interference between independent III-V on silicon waveguide integrated lasers
• Gutzwiller Hybrid Quantum-Classical Computing Approach for Correlated Materials
• Artificial Intelligence for Quantum Computing
• Exploiting Symmetry Reduces the Cost of Training QAOA
• Absence of barren plateaus in finite local-depth circuits with long-range entanglement
• Recent progress in the JARVIS infrastructure for next-generation data-driven materials design
• Exact and approximate symmetry projectors for the electronic structure problem on a quantum computer
• Optical computation of a spin glass dynamics with tunable complexity
• Dimensionality reduction of many-body problem using coupled-cluster sub-system flow equations: classical and quantum computing perspective
• Quantum Phase Recognition via Quantum Kernel Methods
• Computation of molecular excited states on IBM quantum computers using a discriminative variational quantum eigensolver
• Quantum computing methods for electronic states of the water molecule
• Accelerating lattice quantum field theory calculations via interpolator optimization using NISQ-era quantum computing
• Error detection on quantum computers improves accuracy of chemical calculations
• Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights
• Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry
• Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks
• Teaching quantum computing with an interactive textbook
• Spin-projection for quantum computation: A low-depth approach to strong correlation
• Variational Quantum Anomaly Detection: Unsupervised mapping of phase diagrams on a physical quantum computer
• Electronic structure with direct diagonalization on a D-Wave quantum annealer
• Efficient quantum readout-error mitigation for sparse measurement outcomes of near-term quantum devices
• Qubit-efficient entanglement spectroscopy using qubit resets
• Training Gaussian Boson Sampling Distributions
• Quantum Architecture Search via Deep Reinforcement Learning
• Fault-tolerant protection of near-term trapped-ion topological qubits under realistic noise sources
• Calculation of molecular vibrational spectra on a quantum annealer
• State Preparation on Quantum Computers via Quantum Steering
• Observation of wave-packet branching through an engineered conical intersection
• Quantum simulation of thermodynamics in an integrated quantum photonic processor
• Quantum Simulation of Chiral Phase Transitions
• Algorithmic Error Mitigation Scheme for Current Quantum Processors
• Analysis of The Vehicle Routing Problem Solved via Hybrid Quantum Algorithms in Presence of Noisy Channels
• Quantum computed moments correction to variational estimates
• Long-time simulations with high fidelity on quantum hardware
• Feedback-driven quantum reservoir computing for time-series analysis
• ADAPT-QSCI: Adaptive Construction of an Input State for Quantum-Selected Configuration Interaction
• Quantum Approximate Optimization Algorithm with Adaptive Bias Fields
• Scattering wave packets of hadrons in gauge theories: Preparation on a quantum computer
• Quantum gates and architecture for the quantum simulation of the Fermi-Hubbard model
• Completely Quantum Neural Networks
• QAOA Performance in Noisy Devices: The Effect of Classical Optimizers and Ansatz Depth
• Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding
• Ground-state energy estimation of the water molecule on a trapped ion quantum computer
• Fluid fermionic fragments for optimizing quantum measurements of electronic Hamiltonians in the variational quantum eigensolver
• Predicting toxicity by quantum machine learning
• Variational Quantum Classifiers Through the Lens of the Hessian
• Simulating Chemistry on Bosonic Quantum Devices
• Gauge invariant quantum circuits for $U(1)$ and Yang-Mills lattice gauge theories
• Quantum digital cooling
• Simulating excited states of the Lipkin model on a quantum computer
• Near-deterministic hybrid generation of arbitrary photonic graph states using a single quantum emitter and linear optics
• Distributing circuits over heterogeneous, modular quantum computing network architectures
• An Expressive Ansatz for Low-Depth Quantum Approximate Optimisation
• Variational Quantum Evolution Equation Solver
• Optimal quantum control with poor statistics
• Variational quantum eigensolver techniques for simulating carbon monoxide oxidation
• Solving optimization problems with Rydberg analog quantum computers: Realistic requirements for quantum advantage using noisy simulation and classical benchmarks
• New Trends in Quantum Machine Learning
• Quantum utility -- definition and assessment of a practical quantum advantage
• Optimizing quantum circuits with Riemannian gradient flow
• Structural risk minimization for quantum linear classifiers
• Probing many-body localization by excited-state VQE
• Molecule-specific Uncertainty Quantification in Quantum Chemical Studies
• Improving quantum measurements by introducing "ghost" Pauli products
• Non-trivial symmetries in quantum landscapes and their resilience to quantum noise
• Accelerated quantum Monte Carlo with mitigated error on noisy quantum computer
• Real-Time Krylov Theory for Quantum Computing Algorithms
• Towards Quantum Simulations in Particle Physics and Beyond on Noisy Intermediate-Scale Quantum Devices
• On Physics-Informed Neural Networks for Quantum Computers
• Quantum-centric computation of molecular excited states with extended sample-based quantum diagonalization
• Comparison of QAOA with Quantum and Simulated Annealing
• Error statistics and scalability of quantum error mitigation formulas
• A Neural-Network Variational Quantum Algorithm for Many-Body Dynamics
• Quantum Computation for Periodic Solids in Second Quantization
• A semi-agnostic ansatz with variable structure for quantum machine learning
• Preserving Symmetries for Variational Quantum Eigensolvers in the Presence of Noise
• Unitary Selective Coupled-Cluster Method
• Learning Unitaries by Gradient Descent
• Ultrafast Variational Simulation of Non-trivial Quantum States with Long Range Interactions
• Quantum Information Scrambling: From Holography to Quantum Simulators
• Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm
• Generalization of the output of variational quantum eigensolver by parameter interpolation with low-depth ansatz
• Generalized Quantum Assisted Simulator
• Electromagnetic Nanonetworks Beyond 6G: From Wearable and Implantable Networks to On-chip and Quantum Communication
• Pulse variational quantum eigensolver on cross-resonance based hardware
• A Variational Quantum Attack for AES-like Symmetric Cryptography
• Entanglement-efficient bipartite-distributed quantum computing
• A Stochastic Approach to Unitary Coupled Cluster
• Quantum optimal control with quantum computers: an hybrid algorithm featuring machine learning optimization
• Noisy intermediate-scale quantum algorithm for semidefinite programming
• Hessian-based optimization of constrained quantum control
• Quantum Deep Reinforcement Learning for Robot Navigation Tasks
• N-electron valence perturbation theory with reference wavefunctions from quantum computing: application to the relative stability of hydroxide anion and hydroxyl radical
• Shallow-circuit variational quantum eigensolver based on symmetry-inspired Hilbert space partitioning for quantum chemical calculations
• Quantum readout error mitigation via deep learning
• Policy Gradient based Quantum Approximate Optimization Algorithm
• Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits
• Bootstrapping quantum process tomography via a perturbative ansatz
• Variational quantum algorithm with information sharing
• Scaling Up Electronic Structure Calculations on Quantum Computers: The Frozen Natural Orbital Based Method of Increments
• Comprehensive characterization of three-qubit Grover search algorithm on IBM's 127-qubit superconducting quantum computers
• Hybrid quantum-classical algorithm for computing imaginary-time correlation functions
• A method to efficiently simulate the thermodynamical properties of the Fermi-Hubbard model on a quantum computer
• Quantum expectation-value estimation by computational basis sampling
• Predicting Good Quantum Circuit Compilation Options
• Fock State-enhanced Expressivity of Quantum Machine Learning Models
• Seeking a quantum advantage with trapped-ion quantum simulations of condensed-phase chemical dynamics
• Predicting quantum dynamical cost landscapes with deep learning
• Entanglement from tensor networks on a trapped-ion QCCD quantum computer
• Variational optimization of the quantum annealing schedule for the Lechner-Hauke-Zoller scheme
• An Alternative Approach to Quantum Imaginary Time Evolution
• Probabilistic Modeling with Matrix Product States
• Pulse based Variational Quantum Optimal Control for hybrid quantum computing
• Operator Sampling for Shot-frugal Optimization in Variational Algorithms
• A brief introduction to quantum algorithms
• Recent Advances in Deep Learning for Channel Coding: A Survey
• Optimal Control for Quantum Metrology via Pontryagin's principle
• Variational quantum simulation of U(1) lattice gauge theories with qudit systems
• Improved algorithms of quantum imaginary time evolution for ground and excited states of molecular systems
• Quantum computation of silicon electronic band structure
• Strategies for the Determination of the Running Coupling of $(2+1)$-dimensional QED with Quantum Computing
• Folded Spectrum VQE : A quantum computing method for the calculation of molecular excited states
• Discrete-time quantum walk algorithm for ranking nodes on a network
• Resource-Optimized Fermionic Local-Hamiltonian Simulation on Quantum Computer for Quantum Chemistry
• Practical application improvement to Quantum SVM: theory to practice
• Entangled Datasets for Quantum Machine Learning
• Avoiding symmetry roadblocks and minimizing the measurement overhead of adaptive variational quantum eigensolvers
• Variational quantum algorithm for experimental photonic multiparameter estimation
• Improving the Accuracy of the Variational Quantum Eigensolver for Molecular Systems by the Explicitly-Correlated Perturbative [2]-R12-Correction
• cQASM v1.0: Towards a Common Quantum Assembly Language
• Simulating Noisy Variational Quantum Algorithms: A Polynomial Approach
• Hardware-efficient quantum algorithm for the simulation of open-system dynamics and thermalisation
• Linear and logarithmic time compositions of quantum many-body operators
• Entanglement entropy production in Quantum Neural Networks
• Variational waveguide QED simulators
• Challenges in the use of quantum computing hardware-efficient Ansatze in electronic structure theory
• Ab Initio Molecular Dynamics on Quantum Computers
• A Performance Study of Variational Quantum Algorithms for Solving the Poisson Equation on a Quantum Computer
• Quantum Algorithm for Solving the Advection Equation using Hamiltonian Simulation
• A Simple Quantum Neural Net with a Periodic Activation Function
• Classification of dynamical Lie algebras for translation-invariant 2-local spin systems in one dimension
• Parallel Hybrid Networks: an interplay between quantum and classical neural networks
• Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
• Hamiltonian operator approximation for energy measurement and ground state preparation
• Time-optimal control of a dissipative qubit
• Quantum Computing Techniques for Multi-Knapsack Problems
• Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
• QVECTOR: an algorithm for device-tailored quantum error correction
• Quantum Computer-Aided design of Quantum Optics Hardware
• Simulating Effective QED on Quantum Computers
• Training variational quantum circuits with CoVaR: covariance root finding with classical shadows
• Deep reinforcement learning for universal quantum state preparation via dynamic pulse control
• Improving the accuracy and efficiency of quantum connected moments expansions
• Contextual Subspace Variational Quantum Eigensolver
• Controlled-Controlled-Phase Gates for Superconducting Qubits Mediated by a Shared Tunable Coupler
• Hybrid classical-quantum linear solver using Noisy Intermediate-Scale Quantum machines
• Holographic quantum simulation of entanglement renormalization circuits
• Filtering states with total spin on a quantum computer
• Analytical energy gradient for state-averaged orbital-optimized variational quantum eigensolvers and its application to a photochemical reaction
• Quantum kernels to learn the phases of quantum matter
• Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions
• Quantum hardware calculations of periodic systems with partition-measurement symmetry verification: simplified models of hydrogen chain and iron crystals
• Prediction of the neutron drip line in oxygen isotopes using quantum computation
• Gate-based Quantum Computing for Protein Design
• Engineered dissipation to mitigate barren plateaus
• Understanding domain-wall encoding theoretically and experimentally
• Probing Geometric Excitations of Fractional Quantum Hall States on Quantum Computers
• Quantum Computation of Reactions on Surfaces Using Local Embedding
• Designing calibration and expressivity-efficient instruction sets for quantum computing
• Surrogate-based optimization for variational quantum algorithms
• Quantum simulations employing connected moments expansions
• Preparing Valence-Bond-Solid states on noisy intermediate-scale quantum computers
• Quantum State Discrimination Using Noisy Quantum Neural Networks
• Hybrid quantum-classical approach to enhanced quantum metrology
• Predicting molecular vibronic spectra using time-domain analog quantum simulation
• Improving the variational quantum eigensolver using variational adiabatic quantum computing
• Hybrid Oscillator-Qubit Quantum Processors: Instruction Set Architectures, Abstract Machine Models, and Applications
• Error-resilient Monte Carlo quantum simulation of imaginary time
• Variational Quantum Simulation of Ultrastrong Light-Matter Coupling
• Molecular Excited State Calculations with Adaptive Wavefunctions on a Quantum Eigensolver Emulation: Reducing Circuit Depth and Separating Spin States
• Independent operation of two waveguide-integrated quantum emitters
• Coupled Cluster Downfolding Methods: the effect of double commutator terms on the accuracy of ground-state energies
• Approximating the quantum approximate optimization algorithm with digital-analog interactions
• Variational Quantum-Based Simulation of Waveguide Modes
• Accelerated variational algorithms for digital quantum simulation of many-body ground states
• Simulating quench dynamics on a digital quantum computer with data-driven error mitigation
• Optimal training of variational quantum algorithms without barren plateaus
• Application of Pontryagin's Minimum Principle to Grover's Quantum Search Problem
• Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
• The Cost of Improving the Precision of the Variational Quantum Eigensolver for Quantum Chemistry
• Simulating Time Evolution with Fully Optimized Single-Qubit Gates on Parameterized Quantum Circuits
• Primitive Quantum Gates for an SU(3) Discrete Subgroup: $\Sigma (36\times 3)$
• Reducing the runtime of fault-tolerant quantum simulations in chemistry through symmetry-compressed double factorization
• Variationally Scheduled Quantum Simulation
• MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
• Reinforcement learning for semi-autonomous approximate quantum eigensolver
• Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers
• QDB: From Quantum Algorithms Towards Correct Quantum Programs
• Fragmented imaginary-time evolution for early-stage quantum signal processors
• One-particle Green's functions from the quantum equation of motion algorithm
• Automatically Differentiable Quantum Circuit for Many-qubit State Preparation
• An evolving objective function for improved variational quantum optimisation
• Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem
• Quantifying Unknown Quantum Entanglement via a Hybrid Quantum-Classical Machine Learning Framework
• Boltzmann machine learning with a variational quantum algorithm
• Assessing three closed-loop learning algorithms by searching for high-quality quantum control pulses
• Trotter errors from dynamical structural instabilities of Floquet maps in quantum simulation
• Quantifying the efficiency of state preparation via quantum variational eigensolvers
• Variational quantum algorithms to estimate rank, quantum entropies, fidelity and Fisher information via purity minimization
• Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
• Application of Pontryagin's Maximum Principle to Quantum Metrology in Dissipative Systems
• Quantum variational learning for quantum error-correcting codes
• Optimal Trotterization in universal quantum simulators under faulty control
• Efficient calculation of gradients in classical simulations of variational quantum algorithms
• Diagonalization of large many-body Hamiltonians on a quantum processor
• Generic detection-based error-mitigation using quantum autoencoders
• Subdivided Phase Oracle for NISQ Search Algorithms
• Quantum neural networks force fields generation
• Training variational quantum algorithms with random gate activation
• Evaluation of Parameterized Quantum Circuits with Cross-Resonance Pulse-Driven Entanglers
• Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture
• Hybrid Quantum-Classical Graph Convolutional Network
• Nearly-optimal state preparation for quantum simulations of lattice gauge theories
• Quantum simulation of molecules in solution
• Quantum computing critical exponents
• Error mitigation with Clifford quantum-circuit data
• Quantum Fourier analysis for multivariate functions and applications to a class of Schrödinger-type partial differential equations
• Quantum Computation of Phase Transition in the Massive Schwinger Model
• Provable bounds for noise-free expectation values computed from noisy samples
• Topology-Driven Quantum Architecture Search Framework
• Doubly optimal parallel wire cutting without ancilla qubits
• A randomized measurement toolbox for an interacting Rydberg-atom quantum simulator
• Projected Cooling Algorithm for Quantum Computation
• Quantum verification and estimation with few copies
• Entanglement Production and Convergence Properties of the Variational Quantum Eigensolver
• Information processing at the speed of light
• Simulating Molecular Spectroscopy with Circuit Quantum Electrodynamics
• The Basics of Quantum Computing for Chemists
• Experimental Quantum Simulation of Chemical Dynamics
• A native measurement-based QAOA algorithm, applied to the MAX K-CUT problem
• Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
• Predicting excited states from ground state wavefunction by supervised quantum machine learning
• Neural network encoded variational quantum algorithms
• Efficient estimation of trainability for variational quantum circuits
• Tensor networks for interpretable and efficient quantum-inspired machine learning
• Towards a variational Jordan-Lee-Preskill quantum algorithm
• Quantum simulations of Fermionic Hamiltonians with efficient encoding and ansatz schemes
• Finite-size criticality in fully connected spin models on superconducting quantum hardware
• AGP-based unitary coupled cluster theory for quantum computers
• Sampling, rates, and reaction currents through reverse stochastic quantization on quantum computers
• Extended flag gadgets for low-overhead circuit verification
• Complete Quantum-State Tomography with a Local Random Field
• Quantum Machine Learning Tensor Network States
• Quantum Algorithms for Quantum Chemistry based on the sparsity of the CI-matrix
• Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
• Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer
• Sparse Quantum State Preparation for Strongly Correlated Systems
• Quantum simulation of excited states from parallel contracted quantum eigensolvers
• A diagrammatic approach to variational quantum ansatz construction
• Second-quantized fermionic operators with polylogarithmic qubit and gate complexity
• Limitations of optimization algorithms on noisy quantum devices
• Group-theoretic error mitigation enabled by classical shadows and symmetries
• Calibrating the role of entanglement in variational quantum circuits
• Reducing 2-QuBit Gate Count for ZX-Calculus based Quantum Circuit Optimization
• Schrödinger-Heisenberg Variational Quantum Algorithms
• Automated Quantum Circuit Design with Nested Monte Carlo Tree Search
• Molecular Quantum Circuit Design: A Graph-Based Approach
• Dual Exponential Coupled Cluster Theory: Unitary Adaptation, Implementation in the Variational Quantum Eigensolver Framework and Pilot Applications
• Recurrent Quantum Neural Networks
• Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems
• Reducing the amount of single-qubit rotations in VQE and related algorithms
• Bootstrap Embedding on a Quantum Computer
• Stochastic noise can be helpful for variational quantum algorithms
• Minimal Effective Gibbs Ansatz (MEGA): A simple protocol for extracting an accurate thermal representation for quantum simulation
• Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers
• An introduction to variational quantum algorithms for combinatorial optimization problems
• A General Approach to Dropout in Quantum Neural Networks
• Quantum Circuit Design Methodology for Multiple Linear Regression
• Lie-algebraic classical simulations for quantum computing
• Variational Quantum Simulation of Partial Differential Equations: Applications in Colloidal Transport
• Adaptive construction of shallower quantum circuits with quantum spin projection for fermionic systems
• Quantum computing quantum Monte Carlo with hybrid tensor network for electronic structure calculations
• Two-qubit quantum photonic processor manufactured by femtosecond laser writing
• Quantum Error Mitigation by Pauli Check Sandwiching
• Quantum chemistry and charge transport in biomolecules with superconducting circuits
• Quantum approximate Bayesian computation for NMR model inference
• Classical Splitting of Parametrized Quantum Circuits
• PANSATZ: Pulse-based Ansatz for Variational Quantum Algorithms
• Charge and spin response functions on a quantum computer: applications to molecules
• A systematic variational approach to band theory in a quantum computer
• Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement
• Classical Simulation of Noncontextual Pauli Hamiltonians
• Incompressible Navier-Stokes solve on noisy quantum hardware via a hybrid quantum-classical scheme
• Quantum Computing: Vision and Challenges
• Latency considerations for stochastic optimizers in variational quantum algorithms
• Machine learning on quantum experimental data toward solving quantum many-body problems
• Calculating nonadiabatic couplings and Berry's phase by variational quantum eigensolvers
• Transition Role of Entangled Data in Quantum Machine Learning
• Quantum Simulations of SO(5) Many-Fermion Systems using Qudits
• Importance of the spectral gap in estimating ground-state energies
• A self-consistent field approach for the variational quantum eigensolver: orbital optimization goes adaptive
• Accelerating Quantum Computations of Chemistry Through Regularized Compressed Double Factorization
• Chemically Aware Unitary Coupled Cluster with ab initio Calculations on System Model H1: A Refrigerant Chemicals Application
• Synthesizing efficient circuits for Hamiltonian simulation
• Many-body calculations for periodic materials via quantum machine learning
• A Tool For Debugging Quantum Circuits
• Efficient quantum imaginary time evolution by drifting real time evolution: an approach with low gate and measurement complexity
• Quantum Dropout: On and Over the Hardness of Quantum Approximate Optimization Algorithm
• A quantum-inspired tensor network method for constrained combinatorial optimization problems
• State Preparation Boosters for Early Fault-Tolerant Quantum Computation
• Recompilation-enhanced simulation of electron-phonon dynamics on IBM Quantum computers
• Quantifying information scrambling via Classical Shadow Tomography on Programmable Quantum Simulators
• Short-depth circuits for efficient expectation value estimation
• Simulating strongly interacting Hubbard chains with the Variational Hamiltonian Ansatz on a quantum computer
• Proving Quantum Programs Correct
• TenCirChem: An Efficient Quantum Computational Chemistry Package for the NISQ Era
• Quantum Error Mitigation Relying on Permutation Filtering
• Exploiting fermion number in factorized decompositions of the electronic structure Hamiltonian
• Practical Verification of Quantum Properties in Quantum Approximate Optimization Runs
• Implementation of Measurement Reduction for the Variational Quantum Eigensolver
• Variational quantum algorithm for ergotropy estimation in quantum many-body batteries
• Mitigating algorithmic errors in quantum optimization through energy extrapolation
• Fault-tolerant quantum algorithms for quantum molecular systems: A survey
• Post-Hartree-Fock method in Quantum Chemistry for Quantum Computer
• Platinum-based Catalysts for Oxygen Reduction Reaction simulated with a Quantum Computer
• Recommending Solution Paths for Solving Optimization Problems with Quantum Computing
• Electronic Structure Calculations using Quantum Computing
• Quantum reinforcement learning in continuous action space
• The effect of chaos on the simulation of quantum critical phenomena in analog quantum simulators
• Quantum Simulation of Second-Quantized Hamiltonians in Compact Encoding
• Extending the Variational Quantum Eigensolver to Finite Temperatures
• Accelerated variational quantum eigensolver with joint Bell measurement
• Robustness of quantum algorithms against coherent control errors
• Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection
• An exponentially-growing family of universal quantum circuits
• Networked Quantum Services
• Magic State Distillation and Gate Compilation in Quantum Algorithms for Quantum Chemistry
• Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows
• Entanglement-Free Parameter Estimation of Generalized Pauli Channels
• Unitary coupled-cluster based self-consistent polarization propagator theory: a quadratic unitary coupled-cluster singles and doubles scheme
• One-dimensional quantum computing with a 'segmented chain' is feasible with today's gate fidelities
• Calculating the ground state energy of benzene under spatial deformations with noisy quantum computing
• Variational Simulation of Schwinger's Hamiltonian with Polarisation Qubits
• Experimental demonstration of Gaussian boson sampling with displacement
• Transition Slow-Down by Rydberg Interaction of Neutral Atoms and a Fast Controlled-NOT Quantum Gate
• Spatial, spin, and charge symmetry projections for a Fermi-Hubbard model on a quantum computer
• Enhanced estimation of quantum properties with common randomized measurements
• Quantum circuit synthesis using Householder transformations
• Relation between fermionic and qubit mean fields in the electronic structure problem
• Parity Quantum Optimization: Benchmarks
• Solution of SAT Problems with the Adaptive-Bias Quantum Approximate Optimization Algorithm
• Quantum Optimization for Training Quantum Neural Networks
• Certified variational quantum algorithms for eigenstate preparation
• Effects of quantum resources on the statistical complexity of quantum circuits
• Quantum variational approach to lattice gauge theory at nonzero density
• GSQAS: Graph Self-supervised Quantum Architecture Search
• Quantum Neural Estimation of Entropies
• Variational Quantum Eigensolver for SU($N$) Fermions
• Impacts of Noise and Structure on Quantum Information Encoded in a Quantum Memory
• Optimizing Quantum Search Using a Generalized Version of Grover's Algorithm
• Using Quantum Annealers to Calculate Ground State Properties of Molecules
• Digital Quantum Simulation of the Spin-Boson Model under Open System Dynamics
• Efficient Two-Electron Ansatz for Benchmarking Quantum Chemistry on a Quantum Computer
• Variational quantum algorithms for Poisson equations based on the decomposition of sparse Hamiltonians
• Berry Phase Estimation in Gate-Based Adiabatic Quantum Simulation
• Quantum Equation of Motion with Orbital Optimization for Computing Molecular Properties in Near-Term Quantum Computing
• Fast optimization of parametrized quantum optical circuits
• Ground and Excited States from Ensemble Variational Principles
• Adiabatic quantum optimization in presence of discrete noise: Reducing the problem dimensionality
• Scalable Quantum Simulations of Scattering in Scalar Field Theory on 120 Qubits
• Simulating ${\mathbb{Z}}_2$ Lattice Gauge Theory with the Variational Quantum Thermalizer
• Quantum algorithms for the generalized eigenvalue problem
• Connecting geometry and performance of two-qubit parameterized quantum circuits
• Combining Matrix Product States and Noisy Quantum Computers for Quantum Simulation
• Quantum circuits for the preparation of spin eigenfunctions on quantum computers
• The Unified Effect of Data Encoding, Ansatz Expressibility and Entanglement on the Trainability of HQNNs
• Variational dynamics as a ground-state problem on a quantum computer
• Quantum Optimization Methods for Satellite Mission Planning
• Simulating noisy variational quantum eigensolver with local noise models
• Atomic Quantum Technologies for Quantum Matter and Fundamental Physics Applications
• Quantum computer-aided design: digital quantum simulation of quantum processors
• Classification of Hybrid Quantum-Classical Computing
• Optimizing Counterdiabaticity by Variational Quantum Circuits
• QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
• First-Order Phase Transition of the Schwinger Model with a Quantum Computer
• Optimizing the information extracted by a single qubit measurement
• Efficient Quantum Analytic Nuclear Gradients with Double Factorization
• Error mitigation by training with fermionic linear optics
• Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double
• Variational Quantum-Neural Hybrid Error Mitigation
• What do QAOA energies reveal about graphs?
• Qibolab: an open-source hybrid quantum operating system
• Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver
• Quantum Energy Landscape and VQA Optimization
• Optically controlled polariton condensate molecules
• Improved variational quantum eigensolver via quasi-dynamical evolution
• Ensemble-learning error mitigation for variational quantum shallow-circuit classifiers
• Stabilizer Tensor Networks with Magic State Injection
• Complexity of quantum state verification in the quantum linear systems problem
• Hybrid Quantum-Classical Unit Commitment
• Test of the unitary coupled-cluster variational quantum eigensolver for a simple strongly correlated condensed-matter system
• Assessment of various Hamiltonian partitionings for the electronic structure problem on a quantum computer using the Trotter approximation
• Gutzwiller wave function on a digital quantum computer
• A unified framework of transformations based on the Jordan-Wigner transformation
• Avoiding local minima in Variational Quantum Algorithms with Neural Networks
• Discretized quantum adiabatic process for free fermions and comparison with the imaginary-time evolution
• Quantum simulations of molecular systems with intrinsic atomic orbitals
• Fundamental limits on the losses of phase and amplitude optical actuators
• Variational quantum solver employing the PDS energy functional
• Implementation of quantum compression on IBM quantum computers
• A stochastic quantum Krylov protocol with double factorized Hamiltonians
• Error mitigation on a near-term quantum photonic device
• Q${}^2$Chemistry: A quantum computation platform for quantum chemistry
• A variational quantum algorithm for Hamiltonian diagonalization
• Quantum Amplitude Amplification Operators
• Accurate and Efficient Quantum Computations of Molecular Properties Using Daubechies Wavelet Molecular Orbitals: A Benchmark Study against Experimental Data
• What the foundations of quantum computer science teach us about chemistry
• Simulating gauge theories with variational quantum eigensolvers in superconducting microwave cavities
• Variational quantum Gibbs state preparation with a truncated Taylor series
• Quantum Computation of Hydrogen Bond Dynamics and Vibrational Spectra
• Measurement-Based Time Evolution for Quantum Simulation of Fermionic Systems
• A stabilizer framework for Contextual Subspace VQE and the noncontextual projection ansatz
• Fast, high precision dynamics in quantum optimal control theory
• Optimizing edge state transfer in a Su-Schrieffer-Heeger chain via hybrid analog-digital strategies
• Efficient Quantum Simulation of Electron-Phonon Systems by Variational Basis State Encoder
• Interconnect Fabrics for Multi-Core Quantum Processors: A Context Analysis
• On-Premises Superconducting Quantum Computer for Education and Research
• Quantum circuit compilation and hybrid computation using Pauli-based computation
• Optimal scheduling in probabilistic imaginary-time evolution on a quantum computer
• Extension of the Trotterized Unitary Coupled Cluster to Triple Excitations
• Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping
• Quantum correlation alignment for unsupervised domain adaptation
• A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits
• Dynamical mean-field theory for the Hubbard-Holstein model on a quantum device
• Assessment of the variational quantum eigensolver: application to the Heisenberg model
• Leveraging Randomized Compiling for the QITE Algorithm
• Quantum Circuit Evolution on NISQ Devices
• Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
• Measurement optimization of variational quantum simulation by classical shadow and derandomization
• Low-depth simulations of fermionic systems on square-grid quantum hardware
• Multiobjective variational quantum optimization for constrained problems: an application to Cash Management
• Development of Zero-Noise Extrapolated Projection Based Quantum Algorithm for Accurate Evaluation of Molecular Energetics in Noisy Quantum Devices
• Towards Finding an Optimal Flight Gate Assignment on a Digital Quantum Computer
• Variational Approach to Quantum State Tomography based on Maximal Entropy Formalism
• Estimating Phosphorescent Emission Energies in Ir(III) Complexes using Large-Scale Quantum Computing Simulations
• Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms
• Variational quantum solutions to the Shortest Vector Problem
• Benchmarking the Variational Quantum Eigensolver through Simulation of the Ground State Energy of Prebiotic Molecules on High-Performance Computers
• Discovering optimal fermion-qubit mappings through algorithmic enumeration
• Pauli path simulations of noisy quantum circuits beyond average case
• Quantum gradient descent algorithms for nonequilibrium steady states and linear algebraic systems
• Natural parameterized quantum circuit
• Fermionic correlation functions from randomized measurements in programmable atomic quantum devices
• Variational determination of multi-qubit geometrical entanglement in NISQ computers
• Gutzwiller wave function on a quantum computer using a discrete Hubbard-Stratonovich transformation
• Unraveling correlated material properties with noisy quantum computers: Natural orbitalized variational quantum eigensolving of extended impurity models within a slave-boson approach
• Retrieving past quantum features with deep hybrid classical-quantum reservoir computing
• The prospects of Monte Carlo antibody loop modelling on a fault-tolerant quantum computer
• Quantum-Enhanced Simulation-Based Optimization
• Reducing the Resources Required by ADAPT-VQE Using Coupled Exchange Operators and Improved Subroutines
• Projective Cooling for the transverse Ising model
• Counterdiabatic optimized driving in quantum phase sensitive models
• Fermionic approach to variational quantum simulation of Kitaev spin models
• Zeta-regularized vacuum expectation values
• Variational Quantum Algorithms for Semidefinite Programming
• Multi-Level Variational Spectroscopy using a Programmable Quantum Simulator
• Adiabatic quantum simulations with driven superconducting qubits
• A quantum algorithm for the direct estimation of the steady state of open quantum systems
• Volumetric Benchmarking of Error Mitigation with Qermit
• Complexity of Supersymmetric Systems and the Cohomology Problem
• How to enhance quantum generative adversarial learning of noisy information
• Quantum Isomer Search
• A blueprint for a Digital-Analog Variational Quantum Eigensolver using Rydberg atom arrays
• Exploring Parameter Redundancy in the Unitary Coupled-Cluster Ansatze for Hybrid Variational Quantum Computing
• Thermal variational quantum simulation on a superconducting quantum processor
• Coulomb interaction-driven entanglement of electrons on helium
• Hybrid quantum variational algorithm for simulating open quantum systems with near-term devices
• Exactly solving the Kitaev chain and generating Majorana-zero-modes out of noisy qubits
• A Tutorial on Quantum Convolutional Neural Networks (QCNN)
• Variational quantum algorithms for scanning the complex spectrum of non-Hermitian systems
• Entanglement Diagnostics for Efficient Quantum Computation
• Detecting Violations of Differential Privacy for Quantum Algorithms
• Efficient Quantum Simulation of QCD Jets on the Light Front
• Overhead-constrained circuit knitting for variational quantum dynamics
• Semantics for Variational Quantum Programming
• Continuous-variable quantum approximate optimization on a programmable photonic quantum processor
• A Query-based Quantum Eigensolver
• Subspace methods for the simulation of molecular response properties on a quantum computer
• An efficient finite-resource formulation of non-Abelian lattice gauge theories beyond one dimension
• Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets
• EHA: Entanglement-variational Hardware-efficient Ansatz for Eigensolvers
• Quantum Computing and Tensor Networks for Laminate Design: A Novel Approach to Stacking Sequence Retrieval
• A quantum-classical co-processing protocol towards simulating nuclear reactions on contemporary quantum hardware
• Computationally Efficient Quantum Expectation with Extended Bell Measurements
• Solving The Vehicle Routing Problem via Quantum Support Vector Machines
• Mitigated barren plateaus in the time-nonlocal optimization of analog quantum-algorithm protocols
• Automatic quantum circuit encoding of a given arbitrary quantum state
• Quantum computing with subwavelength atomic arrays
• Discriminating Quantum States with Quantum Machine Learning
• Observation of a non-Hermitian supersonic mode on a trapped-ion quantum computer
• VQE Method: A Short Survey and Recent Developments
• Quantum Computing Solution of DC Power Flow
• Benchmarking quantum gates and circuits
• Digital-analog quantum simulation of fermionic models
• Exhaustive search for optimal molecular geometries using imaginary-time evolution on a quantum computer
• Simulation of memristive synapses and neuromorphic computing on a quantum computer
• Towards a Quantum Simulation of Nonlinear Sigma Models with a Topological Term
• Density functionals and Kohn-Sham potentials with minimal wavefunction preparations on a quantum computer
• A new "gold standard": perturbative triples corrections in unitary coupled cluster theory and prospects for quantum computing
• Tailored and Externally Corrected Coupled Cluster with Quantum Inputs
• Strategies for quantum-optimized construction of interpolating operators in classical simulations of lattice quantum field theories
• Scalable two- and four-qubit parity measurement with a threshold photon counter
• Numerical hardware-efficient variational quantum simulation of a soliton solution
• Quantum verification of NP problems with single photons and linear optics
• Variational quantum iterative power algorithms for global optimization
• Robustness to spontaneous emission of a variational quantum algorithm
• Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem
• Scattering phase shifts from a quantum computer
• A general framework for active space embedding methods: applications in quantum computing
• Boundary Treatment for Variational Quantum Simulations of Partial Differential Equations on Quantum Computers
• Analyzing variational quantum landscapes with information content
• Variational Quanvolutional Neural Networks with enhanced image encoding
• Quantum Chemistry Calculations using Energy Derivatives on Quantum Computers
• Quantum-machine-learning channel discrimination
• Variational Quantum Algorithms for Steady States of Open Quantum Systems
• Characterizing Error Mitigation by Symmetry Verification in QAOA
• Quantum computing through the lens of control: A tutorial introduction
• Optimizing Variational Quantum Algorithms with qBang: Efficiently Interweaving Metric and Momentum to Navigate Flat Energy Landscapes
• Optimizing the number of measurements for vibrational structure on quantum computers: coordinates and measurement schemes
• Sampling and scrambling on a chain of superconducting qubits
• Continuous quantum gate sets and pulse class meta-optimization
• Quantum-selected configuration interaction with time-evolved state
• Algorithmic Shadow Spectroscopy
• Spin coupling is all you need: Encoding strong electron correlation in molecules on quantum computers
• Randomized adaptive quantum state preparation
• Multi-Objective Optimization and Network Routing with Near-Term Quantum Computers
• Adaptive variational preparation of the Fermi-Hubbard eigenstates
• Hardware-Tailored Diagonalization Circuits
• Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
• ERASER: Towards Adaptive Leakage Suppression for Fault-Tolerant Quantum Computing
• Continuous variable quantum computation of the $O(3)$ model in 1+1 dimensions
• Molecular Structure Optimization based on Electrons-Nuclei Quantum Dynamics Computation
• QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation
• Dissipative variational quantum algorithms for Gibbs state preparation
• Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
• Expressivity of Variational Quantum Machine Learning on the Boolean Cube
• Room-temperature photonic quantum computing in integrated silicon photonics with germanium-silicon single-photon avalanche diodes
• Estimating the randomness of quantum circuit ensembles up to 50 qubits
• Sampling Error Analysis in Quantum Krylov Subspace Diagonalization
• Physically motivated improvements of Variational Quantum Eigensolvers
• Single-component gradient rules for variational quantum algorithms
• Qoncord: A Multi-Device Job Scheduling Framework for Variational Quantum Algorithms
• Controllable entangled state distribution in a dual-rail reconfigurable optical network
• Demonstration of the Rodeo Algorithm on a Quantum Computer
• Partitioning Quantum Chemistry Simulations with Clifford Circuits
• Opportunities and challenges of quantum computing for climate modelling
• A Quantum Computing Implementation of Nuclear-Electronic Orbital (NEO) Theory: Towards an Exact pre-Born-Oppenheimer Formulation of Molecular Quantum Systems
• Quantum Computing for Energy Correlators
• Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization
• Improved approximation algorithms for bounded-degree local Hamiltonians
• Benchmarking near-term quantum devices with the Variational Quantum Eigensolver and the Lipkin-Meshkov-Glick model
• Studying the phase diagram of the three-flavor Schwinger model in the presence of a chemical potential with measurement- and gate-based quantum computing
• Simulating a ring-like Hubbard system with a quantum computer
• Experimental Quantum Learning of a Spectral Decomposition
• Variational quantum state preparation via quantum data buses
• Connected three-body terms in single-reference unitary many-body theories: Iterative and perturbative approximations
• The role of data embedding in equivariant quantum convolutional neural networks
• Quantifying $T$-gate-count improvements for ground-state-energy estimation with near-optimal state preparation
• Beyond MP2 initialization for unitary coupled cluster quantum circuits
• Incoherent quantum algorithm dynamics of an open system with near-term devices
• Near-Term Quantum-Classical Associative Adversarial Networks
• Do different kinds of photon-pair sources have the same indistinguishability in quantum silicon photonics?
• Natural orbitals and sparsity of quantum mutual information
• Highly optimized quantum circuits synthesized via data-flow engines
• Experimental hybrid quantum-classical reinforcement learning by boson sampling: how to train a quantum cloner
• Reinforcement learning-based architecture search for quantum machine learning
• Quantum variational learning for entanglement witnessing
• Avoiding Barren Plateaus with Entanglement
• Excited-state molecular dynamics simulation based on variational quantum algorithms
• Quantum Depth in the Random Oracle Model
• Measurement-efficient quantum Krylov subspace diagonalisation
• Kernel-based quantum regressor models learn non-Markovianity
• SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System
• A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
• Solving an Industrially Relevant Quantum Chemistry Problem on Quantum Hardware
• Unitary Partitioning and the Contextual Subspace Variational Quantum Eigensolver
• Randomized measurement protocols for lattice gauge theories
• Benchmarking Noisy Intermediate Scale Quantum Error Mitigation Strategies for Ground State Preparation of the HCl Molecule
• Adiabatic quantum algorithm for artificial graphene
• Probing phases of quantum matter with an ion-trap tensor-network quantum eigensolver
• Hybrid Quantum-Classical Boson Sampling Algorithm for Molecular Vibrationally Resolved Electronic Spectroscopy with Duschinsky Rotation and Anharmonicity
• Measurement-based infused circuits for variational quantum eigensolvers
• Resource estimations for the Hamiltonian simulation in correlated electron materials
• Unitary Coupled Cluster: Seizing the Quantum Moment
• QAOA-MC: Markov chain Monte Carlo enhanced by Quantum Alternating Operator Ansatz
• On the Principles of Differentiable Quantum Programming Languages
• Recycling qubits in near-term quantum computers
• Fermionic Simulators for Enhanced Scalability of Variational Quantum Simulation
• Towards chemical accuracy with shallow quantum circuits: A Clifford-based Hamiltonian engineering approach
• Enhancing variational quantum state diagonalization using reinforcement learning techniques
• Automatic design of Hamiltonians
• Single-tone pulse sequences and robust two-tone shaped pulses for three silicon spin qubits with always-on exchange
• From Ansätze to Z-gates: a NASA View of Quantum Computing
• Experimental demonstration of a high-fidelity virtual two-qubit gate
• Quantum annealing with twisted fields
• Direct implementation of a perceptron in superconducting circuit quantum hardware
• Measurement-induced entanglement phase transitions in variational quantum circuits
• Adaptive projected variational quantum dynamics
• VanQver: The Variational and Adiabatically Navigated Quantum Eigensolver
• A Hybrid Classical Quantum Computing Approach to the Satellite Mission Planning Problem
• Coarse grained intermolecular interactions on quantum processors
• On the need for effective tools for debugging quantum programs
• Quantum Information Driven Ansatz (QIDA): shallow-depth empirical quantum circuits from Quantum Chemistry
• Calculus on parameterized quantum circuits
• Jet Discrimination with Quantum Complete Graph Neural Network
• Algorithm-Oriented Qubit Mapping for Variational Quantum Algorithms
• Small quantum computers and large classical data sets
• A backend-agnostic, quantum-classical framework for simulations of chemistry in C++
• Optimising quantum tomography via shadow inversion
• Quantum error reduction with deep neural network applied at the post-processing stage
• Quantum Amplitude Estimation in the Presence of Noise
• Fermionic wave packet scattering: a quantum computing approach
• The Promise of Quantum Simulation
• A Continuous Variable Born Machine
• Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
• SU(2) Symmetry of Coherent Photons and Application to Poincaré Rotator
• Unified multivariate trace estimation and quantum error mitigation
• A hybrid quantum algorithm to detect conical intersections
• Extending the reach of quantum computing for materials science with machine learning potentials
• Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
• Layering and subpool exploration for adaptive Variational Quantum Eigensolvers: Reducing circuit depth, runtime, and susceptibility to noise
• Global Variational Quantum Circuits for Arbitrary Symmetric State Preparation
• Improving Quantum Simulation Efficiency of Final State Radiation with Dynamic Quantum Circuits
• Information recoverability of noisy quantum states
• Certificates of quantum many-body properties assisted by machine learning
• Quantum algorithms for generator coordinate methods
• Programmable adiabatic demagnetization for systems with trivial and topological excitations
• QGo: Scalable Quantum Circuit Optimization Using Automated Synthesis
• Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm
• On proving the robustness of algorithms for early fault-tolerant quantum computers
• Sequential optimal selection of a single-qubit gate and its relation to barren plateau in parameterized quantum circuits
• Unfolding as Quantum Annealing
• Bayesian phase difference estimation algorithm for direct calculation of fine structure splitting: accelerated simulation of relativistic and quantum many-body effects
• Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization
• Calculation of the ground-state Stark effect in small molecules using the variational quantum eigensolver
• Probabilistic Eigensolver with a Trapped-Ion Quantum Processor
• Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics
• Variational quantum algorithm for generalized eigenvalue problems and its application to the finite element method
• Faster variational quantum algorithms with quantum kernel-based surrogate models
• Calibration-Aware Transpilation for Variational Quantum Optimization
• Techniques for learning sparse Pauli-Lindblad noise models
• Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters
• Parallel Quantum Algorithm for Hamiltonian Simulation
• Efficient and Robust Parameter Optimization of the Unitary Coupled-Cluster Ansatz
• Fast Classical Simulation of Hamiltonian Dynamics by Simultaneous Diagonalization Using Clifford Transformation with Parallel Computation
• Circuit Complexity through phase transitions: consequences in quantum state preparation
• Laziness, Barren Plateau, and Noise in Machine Learning
• Accelerating Variational Quantum Algorithms Using Circuit Concurrency
• Hückel Molecular Orbital Theory on a Quantum Computer: A Scalable System-Agnostic Variational Implementation with Compact Encoding
• Parallel Quantum Chemistry on Noisy Intermediate-Scale Quantum Computers
• Simulating Majorana zero modes on a noisy quantum processor
• Controller-based Energy-Aware Wireless Sensor Network Routing using Quantum Algorithms
• Characterization of variational quantum algorithms using free fermions
• Variational approach to photonic quantum circuits via the parameter shift rule
• Enhancing VQE Convergence for Optimization Problems with Problem-specific Parameterized Quantum Circuits
• Simulating spectroscopy experiments with a superconducting quantum computer
• Variational secure cloud quantum computing
• Benchmarking the Variational Quantum Eigensolver using different quantum hardware
• A Photonic Parameter-shift Rule: Enabling Gradient Computation for Photonic Quantum Computers
• Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation
• Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic
• Measurement Crosstalk Errors in Cloud-Based Quantum Computing
• Communication Trade Offs in Intermediate Qudit Circuits
• Energy-dependent barren plateau in bosonic variational quantum circuits
• Stochastic approach for quantum metrology with generic Hamiltonians
• Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning
• Hybrid Tree Tensor Networks for quantum simulation
• Identification of topological phases using classically-optimized variational quantum eigensolver
• Analytical formulation of the second-order derivative of energy for orbital-optimized variational quantum eigensolver: application to polarizability
• Convex Optimization for Nonequilibrium Steady States on a Hybrid Quantum Processor
• State preparation of AGP on a quantum computer without number projection
• Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers
• Emergence of noise-induced barren plateaus in arbitrary layered noise models
• Quantum Computation for Predicting Electron and Phonon Properties of Solids
• Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing
• Mitigating Quantum Errors via Truncated Neumann Series
• Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
• Quantifying fermionic nonlinearity of quantum circuits
• Computing Graph Edit Distance with Algorithms on Quantum Devices
• TFermion: A non-Clifford gate cost assessment library of quantum phase estimation algorithms for quantum chemistry
• Noise-robust ground state energy estimates from deep quantum circuits
• Synergistic Dynamical Decoupling and Circuit Design for Enhanced Algorithm Performance on Near-Term Quantum Devices
• Towards Efficient Quantum Computing for Quantum Chemistry: Reducing Circuit Complexity with Transcorrelated and Adaptive Ansatz Techniques
• Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks
• Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA
• Complete physical characterization of QND measurements via tomography
• Variational-quantum-eigensolver-inspired optimization for spin-chain work extraction
• Computation of Green's function by local variational quantum compilation
• MAQA: A Quantum Framework for Supervised Learning
• Improved iterative quantum algorithm for ground-state preparation
• Quantum computing for classical problems: Variational Quantum Eigensolver for activated processes
• Quantum Error Mitigation via Quantum-Noise-Effect Circuit Groups
• Using a Feedback-Based Quantum Algorithm to Analyze the Critical Properties of the ANNNI Model Without Classical Optimization
• Qsun: an open-source platform towards practical quantum machine learning applications
• Variational Quantum Eigensolver Ansatz for the $J_1$-$J_2$-model
• Mapping renormalized coupled cluster methods to quantum computers through a compact unitary representation of non-unitary operators
• Toward hybrid quantum simulations with qubits and qumodes on trapped-ion platforms
• Improving the performance of quantum approximate optimization for preparing non-trivial quantum states without translational symmetry
• NoRA: A Tensor Network Ansatz for Volume-Law Entangled Equilibrium States of Highly Connected Hamiltonians
• What determines the ultimate precision of a quantum computer?
• Engineering analog quantum chemistry Hamiltonians using cold atoms in optical lattices
• Random coordinate descent: a simple alternative for optimizing parameterized quantum circuits
• Distributed Quantum Computing for Chemical Applications
• Accurate and precise quantum computation of valence two-neutron systems
• Optical vortices in nanophotonics
• A Hybrid Quantum-Classical Method for Electron-Phonon Systems
• Hubbard physics with Rydberg atoms: using a quantum spin simulator to simulate strong fermionic correlations
• Quantum Machine Learning using Gaussian Processes with Performant Quantum Kernels
• Workflow for practical quantum chemical calculations with quantum phase estimation algorithm: electronic ground and π-π* excited states of benzene and its derivatives†
• Evaluating the Resilience of Variational Quantum Algorithms to Leakage Noise
• Application of the Diamond Gate in Quantum Fourier Transformations and Quantum Machine Learning
• Virtual distillation with noise dilution
• Exploring Quantum Average-Case Distances: proofs, properties, and examples
• Operational Quantum Average-Case Distances
• Variational Quantum Support Vector Machine based on $\Gamma$ matrix expansion and Variational Universal-Quantum-State Generator
• Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns
• Variational quantum computing for quantum simulation: principles, implementations, and challenges
• Universal imaginary-time critical dynamics on a quantum computer
• Statistical Approach to Quantum Phase Estimation
• Quantum Computing for Heavy Quarkonium Spectroscopy
• Trimmed Sampling Algorithm for the Noisy Generalized Eigenvalue Problem
• Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging
• Applications and resource reductions in measurement-based variational quantum eigensolvers
• Hybrid quantum-classical algorithm for the transverse-field Ising model in the thermodynamic limit
• The dilemma of quantum neural networks
• Non-adiabatic Quantum Wavepacket Dynamics Simulation Based on Electronic Structure Calculations using the Variational Quantum Eigensolver
• Optimal Parameter Configurations for Sequential Optimization of Variational Quantum Eigensolver
• Benchmarking Quantum Computers: Towards a Standard Performance Evaluation Approach
• Towards Efficient Ansatz Architecture for Variational Quantum Algorithms
• The SWITCH test for discriminating quantum evolutions
• Asymmetric quantum multicast network coding: asymmetric optimal cloning over quantum networks
• Generalising quantum imaginary time evolution to solve linear partial differential equations
• Characterization of quantum states based on creation complexity
• Efficient variational quantum circuit structure for correlated topological phases
• Scalable evaluation of quantum-circuit error loss using Clifford sampling
• Implementing Jastrow--Gutzwiller operators on a quantum computer using the cascaded variational quantum eigensolver algorithm
• Applicability of Measurement-based Quantum Computation towards Physically-driven Variational Quantum Eigensolver
• Quantum continual learning of quantum data realizing knowledge backward transfer
• Divide-and-conquer verification method for noisy intermediate-scale quantum computation
• Hybrid quantum-classical unsupervised data clustering based on the self-organizing feature map
• Quantum Algorithms for Geologic Fracture Networks
• Noise-Robust Detection of Quantum Phase Transitions
• Classical Pre-optimization Approach for ADAPT-VQE: Maximizing the Potential of High-Performance Computing Resources to Improve Quantum Simulation of Chemical Applications
• Forbidden subspaces for level-1 QAOA and IQP circuits
• Experimental quantum natural gradient optimization in photonics
• Parameterized Two-Qubit Gates for Enhanced Variational Quantum Eigensolver
• Advancing quantum simulations of nuclear shell model with noise-resilient protocols
• PHOENICS: A universal deep Bayesian optimizer
• Stochastic optimal control formalism for an open quantum system
• Simulating photonic devices with noisy optical elements
• The Prime state and its quantum relatives
• Optimizing one-axis twists for variational Bayesian quantum metrology
• Hamiltonian learning from time dynamics using variational algorithms
• Boltzmann Distributions on a Quantum Computer via Active Cooling
• Quantum Generative Adversarial Networks in a Silicon Photonic Chip with Maximum Expressibility
• Calculation of core-excited and core-ionized states using variational quantum deflation method and applications to photocatalyst modelling
• An RNN-policy gradient approach for quantum architecture search
• Quantum Chaos and Circuit Parameter Optimization
• Recursive Quantum Relaxation for Combinatorial Optimization Problems
• Tensor-based quantum phase difference estimation for large-scale demonstration
• GraphStateVis: Interactive Visual Analysis of Qubit Graph States and their Stabilizer Groups
• Understanding polaritonic chemistry from ab initio quantum electrodynamics
• Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing
• On-Chip Multiphoton Entangled States by Path Identity
• A Depth-Aware Swap Insertion Scheme for the Qubit Mapping Problem
• Trapped-Ion Entangling Gates Robust Against Qubit Frequency Errors
• A full circuit-based quantum algorithm for excited-states in quantum chemistry
• Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era
• A Hybrid Qubit Encoding: Splitting Fock Space into Fermionic and Bosonic Subspaces
• Calculating the Green's function of two-site Fermionic Hubbard model in a photonic system
• Quantum Next-Generation Reservoir Computing and Its Quantum Optical Implementation
• Hardware-efficient entangled measurements for variational quantum algorithms
• Understanding and mitigating noise in molecular quantum linear response for spectroscopic properties on quantum computers
• Shortcut to Chemically Accurate Quantum Computing via Density-based Basis-set Correction
• Efficient Two-Qubit Pulse Sequences Beyond CNOT
• Quantum Architecture Search for Quantum Monte Carlo Integration via Conditional Parameterized Circuits with Application to Finance
• Coupled cluster method tailored with quantum computing
• A Method to Calculate Correlation for Density Functional Theory on a Quantum Processor
• Nondestructive classification of quantum states using an algorithmic quantum computer
• Practicality of quantum adiabatic algorithm for chemistry applications
• Unlocking early fault-tolerant quantum computing with mitigated magic dilution
• Information flow in parameterized quantum circuits
• Prog-QAOA: Framework for resource-efficient quantum optimization through classical programs
• Estimation of electrostatic interaction energies on a trapped-ion quantum computer
• Finite-depth scaling of infinite quantum circuits for quantum critical points
• Quantum Fourier transform on photonic qubits using cavity QED
• Exponential Qubit Reduction in Optimization for Financial Transaction Settlement
• Reduce&chop: Shallow circuits for deeper problems
• Quantum technologies for climate change: Preliminary assessment
• Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation
• Parametrized quantum circuit for weight-adjustable quantum loop gas
• Quantum Circuit Parameters Learning with Gradient Descent Using Backpropagation
• Near Term Algorithms for Linear Systems of Equations
• Variational Quantum Non-Orthogonal Optimization
• State preparation of lattice field theories using quantum optimal control
• Phase estimation algorithm for the multibeam optical metrology
• Variational simulation of the Lipkin-Meshkov-Glick model on a neutral atom quantum computer
• A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations
• Fundamentals In Quantum Algorithms: A Tutorial Series Using Qiskit Continued
• Robust Preparation of Many-body Ground States in Jaynes-Cummings Lattices
• Adaptive shot allocation for fast convergence in variational quantum algorithms
• Verifying the output of quantum optimizers with ground-state energy lower bounds
• Simulator Demonstration of Large Scale Variational Quantum Algorithm on HPC Cluster
• Local, Expressive, Quantum-Number-Preserving VQE Ansatze for Fermionic Systems
• Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Inspired Method
• Fast gradient-free optimization of excitations in variational quantum eigensolvers
• Gradients and frequency profiles of quantum re-uploading models
• Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms
• Entanglement-assisted phase estimation algorithm for calculating dynamical response functions
• Noise-robust exploration of many-body quantum states on near-term quantum devices
• Detection of energy levels of a spin system on a quantum computer by probe spin evolution
• Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models
• Error-Mitigated Quantum Simulation of Interacting Fermions with Trapped Ions
• Computational Chemistry on Quantum Computers: Ground state estimation
• Rapid quantum approaches for combinatorial optimisation inspired by optimal state-transfer
• A Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
• QContext: Context-Aware Decomposition for Quantum Gates
• A Universal Quantum Circuit Design for Periodical Functions
• Precision ground-state energy calculation for the water molecule on a superconducting quantum processor
• Error mitigation, optimization, and extrapolation on a trapped ion testbed
• Optimisation-free Classification and Density Estimation with Quantum Circuits
• Noise-tolerant quantum speedups in quantum annealing without fine tuning
• Diagrammatic Analysis for Parameterized Quantum Circuits
• A Quantum Annealing Protocol to Solve the Nuclear Shell Model
• Quantum computing for genomics: conceptual challenges and practical perspectives
• Best-approximation error for parametric quantum circuits
• Variational measurement-based quantum computation for generative modeling
• Toward Reliability in the NISQ Era: Robust Interval Guarantee for Quantum Measurements on Approximate States
• A variational quantum algorithm for tackling multi-dimensional Poisson equations with inhomogeneous boundary conditions
• Parameterization and optimizability of pulse-level VQEs
• Determination of Molecular Energies via Quantum Imaginary Time Evolution in a Superconducting Qubit System
• Characterizing randomness in parameterized quantum circuits through expressibility and average entanglement
• Scalable quantum measurement error mitigation via conditional independence and transfer learning
• Direct pulse-level compilation of arbitrary quantum logic gates on superconducting qutrits
• Toward a quantum computing algorithm to quantify classical and quantum correlation of system states
• Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
• The Inductive Bias of Quantum Kernels
• Maximising Quantum-Computing Expressive Power through Randomised Circuits
• Advantages of a modular high-level quantum programming framework
• A near-term quantum simulation of the transverse field Ising model hints at Glassy Dynamics
• Simulating quantum circuits with arbitrary local noise using Pauli Propagation
• Adaptive variational ground state preparation for spin-1 models on qubit-based architectures
• ChemiQ: A Chemistry Simulator for Quantum Computer
• Quantum algorithms for Schrieffer-Wolff transformation
• Robust Diabatic Quantum Search by Landau-Zener-Stückelberg Oscillations
• Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods
• Demonstrating Quantum Computation for Quasiparticle Band Structures
• A Classically Efficient Quantum Scalable Fermi-Hubbard Benchmark
• Geometric Quantum Machine Learning with Horizontal Quantum Gates
• Large-scale Quantum Approximate Optimization via Divide-and-Conquer
• Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications
• Quantum density estimation with density matrices: Application to quantum anomaly detection
• Electronic Structure in a Fixed Basis is QMA-complete
• An approach to solve the coarse-grained Protein folding problem in a Quantum Computer
• Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements
• Noise reduction using past causal cones in variational quantum algorithms
• FragPT2: Multi-Fragment Wavefunction Embedding with Perturbative Interactions
• Realizing a Continuous Set of Two-Qubit Gates Parameterized by an Idle Time
• Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation
• Greedy Gradient-free Adaptive Variational Quantum Algorithms on a Noisy Intermediate Scale Quantum Computer
• Time-Optimal Quantum Driving by Variational Circuit Learning
• Quantum Portfolio Optimization with Expert Analysis Evaluation
• Engineering the Cost Function of a Variational Quantum Algorithm for Implementation on Near-Term Devices
• Differentiable quantum computational chemistry with PennyLane
• Compressed variational quantum eigensolver for the Fermi-Hubbard model
• Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions
• Ab initio extended Hubbard model of short polyenes for efficient quantum computing
• Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
• Subspace-Search Quantum Imaginary Time Evolution for Excited State Computations
• Teleporting two-qubit entanglement across 19 qubits on a superconducting quantum computer
• Quantum Computation for Pricing the Collateralized Debt Obligations
• SlackQ : Approaching the Qubit Mapping Problem with A Slack-aware Swap Insertion Scheme
• Quantum Natural Gradient optimizer on noisy platforms: QAOA as a case study
• Quantum gradient evaluation through quantum non-demolition measurements
• Sketching phase diagrams using low-depth variational quantum algorithms
• Quantum computational study of chloride ion attack on chloromethane for chemical accuracy and quantum noise effects with UCCSD and k-UpCCGSD ansatzes
• Variational Phase Estimation with Variational Fast Forwarding
• Simulating thermodynamic properties of dinuclear metal complexes using Variational Quantum Algorithms
• Variational quantum simulation of long-range interacting systems
• Reinforcement Learning vs. Gradient-Based Optimisation for Robust Energy Landscape Control of Spin-1/2 Quantum Networks
• Size-consistency and orbital-invariance issues revealed by VQE-UCCSD calculations with the FMO scheme
• Efficient ground-state energy estimation and certification on early fault-tolerant quantum computers
• Probing the limits of variational quantum algorithms for nonlinear ground states on real quantum hardware: The effects of noise
• Minimizing state preparation times in pulse-level variational molecular simulations
• Optimization of probabilistic quantum search algorithm with a priori information
• Roadmap for quantum simulation of the fractional quantum Hall effect
• Flexibility of the factorized form of the unitary coupled cluster ansatz
• Assisted quantum simulation of open quantum systems
• Optimization of the Variational Quantum Eigensolver for Quantum Chemistry Applications
• Energy Landscape Structure of Small Graph Isomorphism Under Variational Optimization
• Divergences in classical and quantum linear response and equation of motion formulations
• Quantum computing quantum Monte Carlo algorithm
• Simulating 0+1 Dimensional Quantum Gravity on Quantum Computers: Mini-Superspace Quantum Cosmology and the World Line Approach in Quantum Field Theory
• Material matters in superconducting qubits
• Quantum sampling for the Euclidean path integral of lattice gauge theory
• Quantum Computing for Data Centric Engineering and Science
• Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States
• Semiconductor-based electron flying qubits: Review on recent progress accelerated by numerical modelling
• Estimating molecular thermal averages with the quantum equation of motion and informationally complete measurements
• Symmetric Trotterization in digital quantum simulation of quantum spin dynamics
• Energy Landscape Plummeting in Variational Quantum Eigensolver: Subspace Optimization, Non-iterative Corrections and Generator-informed Initialization for Improved Quantum Efficiency
• Scalability Challenges in Variational Quantum Optimization under Stochastic Noise
• Molecular Properties from Quantum Krylov Subspace Diagonalization
• Critical Limitations in Quantum-Selected Configuration Interaction Methods
• Towards Supporting QIR: Steps for Adopting the Quantum Intermediate Representation
• Towards Arbitrary QUBO Optimization: Analysis of Classical and Quantum-Activated Feedforward Neural Networks
• Simulating a quasiparticle on a quantum device
• A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
• Detecting quasi-degenerate ground states in topological models via variational quantum eigensolver
• Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
• Machine-Learning Insights into the Entanglement-trainability Correlation of Parameterized Quantum Circuits
• Full Band Structure Calculation of Semiconducting Materials on a Noisy Quantum Processor
• Simple Hamiltonian dynamics is a powerful quantum processing resource
• Optimal depth and a novel approach to variational quantum process tomography
• Variational Optimization for Quantum Problems using Deep Generative Networks
• QuTracer: Mitigating Quantum Gate and Measurement Errors by Tracing Subsets of Qubits
• Quantum Relaxation for Solving Multiple Knapsack Problems
• Exact block encoding of imaginary time evolution with universal quantum neural networks
• Matrix product state ansatz for the variational quantum solution of the Heisenberg model on Kagome geometries
• Exponential quantum advantages for practical non-Hermitian eigenproblems
• Accurate harmonic vibrational frequencies for diatomic molecules via quantum computing
• QSlack: A slack-variable approach for variational quantum semi-definite programming
• Training iterated protocols for distillation of GHZ states with variational quantum algorithms
• Exploring the topological sector optimization on quantum computers
• All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks
• Mitigating Quantum Gate Errors for Variational Eigensolvers Using Hardware-Inspired Zero-Noise Extrapolation
• Quantum techniques for eigenvalue problems
• Optimization strategies in WAHTOR algorithm for quantum computing empirical ansatz: a comparative study
• State Preparation in a Jaynes-Cummings Lattice with Quantum Optimal Control
• Resource-efficient utilization of quantum computers
• Variational quantum eigensolver with embedded entanglement using a tensor-network ansatz
• Reducing the Compilation Time of Quantum Circuits Using Pre-Compilation on the Gate Level
• Quantum computing of the pairing Hamiltonian at finite temperatures
• Differentiable matrix product states for simulating variational quantum computational chemistry
• Variational quantum simulation of critical Ising model with symmetry averaging
• Iteration Complexity of Variational Quantum Algorithms
• On Quantum Circuits for Discrete Graphical Models
• Formulations of the Elastodynamic Equations in Anisotropic and Multiphasic Porous Media from the Principle of Energy Conservation
• Near-term quantum algorithm for computing molecular and materials properties based on recursive variational series methods
• Iterative Quantum Optimization with Adaptive Problem Hamiltonian
• Limitations of variational quantum algorithms: a quantum optimal transport approach
• Kernel-Function Based Quantum Algorithms for Finite Temperature Quantum Simulation
• 3+1 Dimension Schwinger Pair Production with Quantum Computers
• Calculation of Gibbs partition function with imaginary time evolution on near-term quantum computers
• Using gradient-based algorithms to determine ground state energies on a quantum computer
• Learning quantum phases via single-qubit disentanglement
• Universal noise-precision relations in variational quantum algorithms
• Quantum algorithm for calculation of transition amplitudes in hybrid tensor networks
• Algorithmic Primitives for Quantum-Assisted Quantum Control
• Circuit lower bounds for low-energy states of quantum code Hamiltonians
• Chiral topologically ordered insulating phases in arrays of interacting integer quantum Hall islands
• A Full Quantum Eigensolver for Quantum Chemistry Simulations
• A framework for randomized benchmarking over compact groups
• Stabilizer-Accelerated Quantum Many-Body Ground-State Estimation
• Hamiltonian-based graph-state ansatz for variational quantum algorithms
• Quantum locally linear embedding for nonlinear dimensionality reduction
• Variational Quantum Simulation of Valence-Bond Solids
• Quantum neural networks with multi-qubit potentials
• Subspace-Based Local Compilation of Variational Quantum Circuits for Large-Scale Quantum Many-Body Simulation
• Multireference error mitigation for quantum computation of chemistry
• Photonic variational quantum eigensolver using entanglement measurements
• Non-Iterative Disentangled Unitary Coupled-Cluster based on Lie-algebraic structure
• The Future of Computing: Bits + Neurons + Qubits
• Quantum error mitigation for rotation symmetric bosonic codes with symmetry expansion
• Towards quantum simulation of spin systems using continuous variable quantum devices
• Permutation-equivariant quantum convolutional neural networks
• Extending C++ for Heterogeneous Quantum-Classical Computing
• Deep variational quantum eigensolver for excited states and its application to quantum chemistry calculation of periodic materials
• Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm
• Optimal compilation of parametrised quantum circuits
• Improving the efficiency of learning-based error mitigation
• ArsoNISQ: Analyzing Quantum Algorithms on Near-Term Architectures
• The Future of the Correlated Electron Problem
• Quantum Natural Gradient with Geodesic Corrections for Small Shallow Quantum Circuits
• Imaginary Hamiltonian variational ansatz for combinatorial optimization problems
• Tangible reduction in learning sample complexity with large classical samples and small quantum system
• Refining resource estimation for the quantum computation of vibrational molecular spectra through Trotter error analysis
• Quantum Computing in Pharma: A Multilayer Embedding Approach for Near Future Applications
• Quantum supremacy with analog quantum processors for material science and machine learning
• Quantum contextual bandits and recommender systems for quantum data
• Hardware-Efficient Preparation of Graph States on Near-Term Quantum Computers
• Self-consistent Quantum Linear Response with a Polarizable Embedding environment
• Exploiting subspace constraints and ab initio variational methods for quantum chemistry
• Exploring thermal equilibria of the Fermi-Hubbard model with variational quantum algorithms
• Forecasting Election Polls with Spin Systems
• Hierarchical Multigrid Ansatz for Variational Quantum Algorithms
• Exploration of Quantum Computing in Materials Discovery for Direct Air Capture Applications
• Local bottom-up effective theory of non-local electronic interactions
• QFCNN: Quantum Fourier Convolutional Neural Network
• Cascaded variational quantum eigensolver algorithm
• Neutron-nucleus dynamics simulations for quantum computers
• Advantage of discrete variable representation in variational quantum eigensolvers for vibrational energy calculations
• Experimental Determination of Electronic States via Digitized Shortcut-to-Adiabaticity and Sequential Digitized Adiabaticity
• A Method of Determining Excited-States for Quantum Computation
• Demonstration of Hardware Efficient Photonic Variational Quantum Algorithm
• Warm Start Adaptive-Bias Quantum Approximate Optimization Algorithm
• Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems
• Modeling Linear Inequality Constraints in Quadratic Binary Optimization for Variational Quantum Eigensolver
• Calculation of the moscovium ground-state energy by quantum algorithms
• Practical techniques for high-precision measurements on near-term quantum hardware and applications in molecular energy estimation
• Large-scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing
• C3-VQA: Cryogenic Counter-based Co-processor for Variational Quantum Algorithms
• Extending Quantum Computing through Subspace, Embedding and Classical Molecular Dynamics Techniques
• Quantum phase estimation based filtering: performance analysis and application to low-energy spectral calculation
• Inverse iteration quantum eigensolvers assisted with a continuous variable
• Efficient Quantum Cooling Algorithm for Fermionic Systems
• Metropolis-style random sampling of quantum gates for the estimation of low-energy observables
• Ladder Operator Block-Encoding
• Single entanglement connection architecture between multi-layer bipartite Hardware Efficient Ansatz
• A construction of Combinatorial NLTS
• Partitioned Quantum Subspace Expansion
• Computing Electronic Correlation Energies using Linear Depth Quantum Circuits
• Noise-aware variational eigensolvers: a dissipative route for lattice gauge theories
• Sequence of penalties method to study excited states using VQE
• Encoded probabilistic imaginary-time evolution on a trapped-ion quantum computer for ground and excited states of spin qubits
• Sequential quantum simulation of spin chains with a single circuit QED device
• Decomposition of high-rank factorized unitary coupled-cluster operators using ancilla and multi-qubit controlled low-rank counterparts
• Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization
• Quantum Circuit Distillation and Compression
• Quantum Zeno approach for molecular energies with maximum commuting initialHamiltonians
• Quantum Extremal Learning
• Tridiagonal matrix decomposition for Hamiltonian simulation on a quantum computer
• Bayesian Quantum Circuit
• Optimally Stopped Variational Quantum Algorithms
• Solvent distribution effects on quantum chemical calculations with quantum computers
• Geometric quantum adiabatic methods for quantum chemistry
• Generalized quantum data-syndrome codes and belief propagation decoding for phenomenological noise
• On the similarity of bandwidth-tuned quantum kernels and classical kernels
• Scattering Quantum Random Walks on Square Grids and Randomly Generated Mazes
• Composable Programming of Hybrid Workflows for Quantum Simulation
• From Heisenberg to Hubbard: An initial state for the shallow quantum simulation of correlated electrons
• Simulating polaritonic ground states on noisy quantum devices
• Quantum Machine Learning of Molecular Energies with Hybrid Quantum-Neural Wavefunction
• Quantum Technology for Military Applications
• Mitigating decoherence in molecular spin qudits
• QuOp_MPI: a framework for parallel simulation of quantum variational algorithms
• Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
• Leveraging commuting groups for an efficient variational Hamiltonian ansatz
• Dual-VQE: A quantum algorithm to lower bound the ground-state energy
• Comparative study on compact quantum circuits of hybrid quantum-classical algorithms for quantum impurity models
• Resource-Efficient Quantum Circuits for Molecular Simulations: A Case Study of Umbrella Inversion in Ammonia
• Quantum variational solving of the Wheeler-DeWitt equation
• Reducing measurement costs by recycling the Hessian in adaptive variational quantum algorithms
• A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms
• QForte: an efficient state simulator and quantum algorithms library for molecular electronic structure
• Sparse-Hamiltonian approach to the time evolution of molecules on quantum computers
• Systematic many-fermion Hamiltonian input scheme and spectral calculations on quantum computers
• Estimation of Quantum Fisher Information via Stein's Identity in Variational Quantum Algorithms
• Variational post-selection for ground states and thermal states simulation
• Quantum-Enhanced Simulation-Based Optimization for Newsvendor Problems
• Compact Multi-Threshold Quantum Information Driven Ansatz For Strongly Interactive Lattice Spin Models
• Optimizing Electronic Structure Simulations on a Trapped-ion Quantum Computer using Problem Decomposition
• Optimized numerical gradient and Hessian estimation for variational quantum algorithms
• Simulating electronic structure on bosonic quantum computers
• Quantum computing hardware in the cloud: Should a computational chemist care?
• The resource cost of large scale quantum computing
• Expanding variational quantum eigensolvers to larger systems by dividing the calculations between classical and quantum hardware
• Equation-of-motion internally contracted multireference unitary coupled-cluster theory
• Tensor-Programmable Quantum Circuits for Solving Differential Equations
• Calculating response functions of coupled oscillators using quantum phase estimation
• Quantum-inspired clustering with light
• Quantum-classical reinforcement learning for decoding noisy classical parity information
• Universal compiling and (No-)Free-Lunch theorems for continuous variable quantum learning
• Simulation of the elementary evolution operator with the motional states of an ion in an anharmonic trap
• Accelerating Feedback-Based Quantum Algorithms through Time Rescaling
• Quantifying athermality and quantum induced deviations from classical fluctuation relations
• Software-Hardware Co-Optimization for Computational Chemistry on Superconducting Quantum Processors
• Multidimensional Quantum Generative Modeling by Quantum Hartley Transform
• Quantum nuclear dynamics on a distributed set of ion-trap quantum computing systems
• Distance-four quantum codes with combined postselection and error correction
• Probing many-body Bell correlation depth with superconducting qubits
• Towards solving the BCS Hamiltonian gap in Near-Term Quantum Computers
• Noise tailoring for Robust Amplitude Estimation
• Efficient parameterised compilation for hybrid quantum programming
• Sequency Hierarchy Truncation (SeqHT) for Adiabatic State Preparation and Time Evolution in Quantum Simulations
• Perturbative gadgets for gate-based quantum computing: Non-recursive constructions without subspace restrictions
• Almost fault-tolerant quantum machine learning with drastic overhead reduction
• Quantum-enhanced mean value estimation via adaptive measurement
• A quantum computing approach to fixed-node Monte Carlo using classical shadows
• Towards Efficient Superconducting Quantum Processor Architecture Design
• Simulation of a Three-Nucleons System Transition on Quantum Circuits
• A Monte Carlo Tree Search approach to QAOA: finding a needle in the haystack
• Recursive relations and quantum eigensolver algorithms within modified Schrieffer--Wolff transformations for the Hubbard dimer
• Basis set generation and optimization in the NISQ era with Quiqbox.jl
• Adaptive Random Quantum Eigensolver
• Variational Microcanonical Estimator
• Quantum Feasibility Labeling for NP-complete Vertex Coloring Problem
• Variational Quantum Imaginary Time Evolution for Matrix Product State Ansatz with Tests on Transcorrelated Hamiltonians
• VQE-generated quantum circuit dataset for machine learning
• Efficient application of the factorized form of the unitary coupled-cluster ansatz for the variational quantum eigensolver algorithm by using linear combination of unitaries
• Combinatorial optimization through variational quantum power method
• Quantum computing of magnetic-skyrmion-like patterns in Heisenberg ferromagnets
• Fourier Analysis of Variational Quantum Circuits for Supervised Learning
• Experimental semi-autonomous eigensolver using reinforcement learning
• Variational LOCC-assisted quantum circuits for long-range entangled states
• Quantum computation of a quasiparticle band structure with the quantum-selected configuration interaction
• Constructing Local Bases for a Deep Variational Quantum Eigensolver for Molecular Systems
• Quasi-fractionalization of spin in a cluster-based Haldane state supported by chirality of a triangular spin tube
• Reducing circuit depth with qubitwise diagonalization
• Quantum memristor with vacuum--one-photon qubits
• Efficient Quantum Simulation of Non-Adiabatic Molecular Dynamics with Precise Electronic Structure
• Generic eigenstate preparation via measurement-based purification
• Ising Hamiltonians for Constrained Combinatorial Optimization Problems and the Metropolis-Hastings Warm-Starting Algorithm
• Utility of NISQ devices: optimizing experimental parameters for the fabrication of Au atomic junction using gate-based quantum computers
• The Electronic Structure of the Hydrogen Molecule: A Tutorial Exercise in Classical and Quantum Computation
• Multiqubit state learning with entangling quantum generative adversarial networks
• Correlated two-Leviton states in the fractional quantum Hall regime
• Efficient classical calculation of the Quantum Natural Gradient
• TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture
• Resource-efficient Generalized Quantum Subspace Expansion
• Addition and Differentiation of ZX-diagrams
• Efficient preparation of the AKLT State with Measurement-based Imaginary Time Evolution
• Parent Hamiltonian as a benchmark problem for variational quantum eigensolvers
• Algorithm for initializing a generalized fermionic Gaussian state on a quantum computer
• A recipe for local simulation of strongly-correlated fermionic matter on quantum computers: the 2D Fermi-Hubbard model
• Qonductor: A Cloud Orchestrator for Quantum Computing
• Dead Gate Elimination
• Benchmarking Variational Quantum Algorithms for Combinatorial Optimization in Practice
• On the Effects of Small Graph Perturbations in the MaxCut Problem by QAOA
• Quantum many-body simulation of finite-temperature systems with sampling a series expansion of a quantum imaginary-time evolution
• Measuring Correlation and Entanglement between Molecular Orbitals on a Trapped-Ion Quantum Computer
• Learning Density Functionals from Noisy Quantum Data
• Simplified projection on total spin zero for state preparation on quantum computers
• Stabilizer configuration interaction: Finding molecular subspaces with error detection properties
• Context aware quantum simulation of a matrix stored in quantum memory
• State Specific Measurement Protocols for the Variational Quantum Eigensolver
• Simulating the Fermi-Hubbard model with long-range hopping on a quantum computer
• Variational Quantum Simulation of the Fokker-Planck Equation applied to Quantum Radiation Reaction
• Error Analysis of the Variational Quantum Eigensolver Algorithm
• Effective temperature in approximate quantum many-body states
• NISQ algorithm for the matrix elements of a generic observable
• Multi-set variational quantum dynamics algorithm for simulating nonadiabatic dynamics on quantum computers
• Coupled-cluster pairing models for radicals with strong correlations
• Demonstration of a variational quantum eigensolver with a solid-state spin system under ambient conditions
• Simulating methylamine using symmetry adapted qubit-excitation-based variational quantum eigensolver
• Discontinuous Galerkin discretization for quantum simulation of chemistry
• Modified Conjugate Quantum Natural Gradient
• Extracting the spin excitation spectrum of a fermionic system using a quantum processor
• Evolved Quantum Boltzmann Machines
• Entanglement-informed Construction of Variational Quantum Circuits
• High-Quality Protein Force Fields with Noisy Quantum Processors
• Heuristic Time Complexity of NISQ Shortest-Vector-Problem Solvers
• Transformation-free generation of a quasi-diabatic representation from the state-average orbital-optimized variational quantum eigensolver
• Computability and Complexity of Unconventional Computing Devices
• Detecting and Eliminating Quantum Noise of Quantum Measurements
• An Efficient Gradient Sensitive Alternate Framework for VQE with Variable Ansatz
• Quantum Approximation of Normalized Schatten Norms and Applications to Learning
• Revisiting semiconductor bulk hamiltonians using quantum computers
• Efficient Mean-Field Simulation of Quantum Circuits Inspired by Density Functional Theory
• Hybrid Quantum Singular Spectrum Decomposition for Time Series Analysis
• Enabling Multi-threading in Heterogeneous Quantum-Classical Programming Models
• Almost optimal measurement scheduling of molecular Hamiltonian via finite projective plane
• Practical Quantum Computing: The value of local computation
• Escaping Local Minima with Quantum Coherent Cooling
• Adaptively partitioned analog quantum simulation on near-term quantum computers: The nonclassical free-induction decay of NV centers in diamond
• Q-fid: Quantum Circuit Fidelity Improvement with LSTM Networks
• Quantum Simulation of Molecular Dynamics Processes -- A Benchmark Study Using Classical Simulator and Present-Day Quantum Hardware
• Q-Profile: Profiling Tool for Quantum Control Stacks applied to the Quantum Approximate Optimization Algorithm
• Modelling for Quantum Error Mitigation
• Crosstalk-Based Parameterized Quantum Circuit Approximation
• Modeling Non-Covalent Interatomic Interactions on a Photonic Quantum Computer
• Photonic variational quantum eigensolver for NISQ-compatible quantum technology
• Practical limitations of quantum data propagation on noisy quantum processors
• Energy levels estimation on a quantum computer by evolution of a physical quantity
• Determining the ability for universal quantum computing: Testing controllability via dimensional expressivity
• Density matrix representation of hybrid tensor networks for noisy quantum devices
• The impacts of optimization algorithm and basis size on the accuracy and efficiency of variational quantum eigensolver
• Universal Quantum Computer Simulation of 50 Qubits on Europe`s First Exascale Supercomputer Harnessing Its Heterogeneous CPU-GPU Architecture
• Scalable Quantum Computational Science: A Perspective from Block-Encodings and Polynomial Transformations
• Adaptive measurement strategy for quantum subspace methods
• Quantum Simulation of Molecules without Fermionic Encoding of the Wave Function
• Quantum Computing Beyond Ground State Electronic Structure: A Review of Progress Toward Quantum Chemistry Out of the Ground State
• Detecting Entanglement Generating Circuits in Cloud-Based Quantum Computing
• Optimal solutions to quantum annealing using two independent control functions
• Simulating quantum field theories on gate-based quantum computers
• Low Depth Virtual Distillation of Quantum Circuits by Deterministic Circuit Decomposition
• Accelerating variational quantum algorithms with multiple quantum processors
• Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
• Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning
• Bridging Quantum Computing and Nuclear Structure: Atomic Nuclei on a Trapped-Ion Quantum Computer
• Normalized Gradient Descent for Variational Quantum Algorithms
• From Bound States to Quantum Spin Models: Chiral Coherent Dynamics in Topological Photonic Rings
• Toolchain for Faster Iterations in Quantum Software Development
• Perspectives on Utilization of Measurements in Quantum Algorithms
• Tangent Space Excitation Ansatz for Quantum Circuits
• Efficient Sparse State Preparation via Quantum Walks
• Toward scalable quantum computations of atomic nuclei
• Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
• Quantum Software Ecosystem Design
• Model-Driven Engineering for Quantum Programming: A Case Study on Ground State Energy Calculation
• Does the full configuration interaction method based on quantum phase estimation with Trotter decomposition satisfy the size consistency condition?
• Classically-Boosted Variational Quantum Eigensolver
• Resource-Efficient Hadamard Test Tailored Variational Framework for Nonlinear Dynamics on Quantum Computers
• Tensor Decompositions and Adiabatic Quantum Computing for Discovering Practical Matrix Multiplication Algorithms
• Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers
• Multi-target quantum compilation algorithm
• The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion
• Q-gen: A Parameterized Quantum Circuit Generator
• Variational quantum algorithm based on Lagrange polynomial encoding to solve differential equations
• Variational quantum cloning machine on an integrated photonic interferometer
• The Levy-Lieb embedding of density functional theory and its Quantum Kernel: Illustration for the Hubbard Dimer using near-term quantum algorithms
• Ab Initio Polaritonic Chemistry on Diverse Quantum Computing Platforms: Qubit, Qudit, and Hybrid Qubit-Qumode Architectures
• Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE
• Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces
• Exponential distillation of dominant eigenproperties
• The Dual Role of Low-Weight Pauli Propagation: A Flawed Simulator but a Powerful Initializer for Variational Quantum Algorithms
• Encoding strongly-correlated many-boson wavefunctions on a photonic quantum computer: application to the attractive Bose-Hubbard model
• Fast-Forwarding with NISQ Processors without Feedback Loop
• Error Mitigation in Quantum Computers through Instruction Scheduling
• The quantum condition space
• Quantum Noise Sensing by generating Fake Noise
• State preparation and evolution in quantum computing: a perspective from Hamiltonian moments
• Excited state calculations using variational quantum eigensolver with spin-restricted ansätze and automatically-adjusted constraints
• Witnessing Objectivity on a Quantum Computer
• Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training
• Unsupervised detection of decoupled subspaces: many-body scars and beyond
• Swap-test interferometry with biased ancilla noise
• Quantum neural network autoencoder and classifier applied to an industrial case study
• Hybrid Quantum-Classical Eigensolver Without Variation or Parametric Gates
• Efficient trainability of linear optical modules in quantum optical neural networks
• Orbital Expansion Variational Quantum Eigensolver: Enabling Efficient Simulation of Molecules with Shallow Quantum Circuit
• Quantum algorithms for optimal effective theory of many-body systems
• Modularized and Scalable Compilation for Double Quantum Dot Quatum Computing
• Symmetry-based quantum algorithms for open-shop scheduling with hard constraints
• Hybrid quantum gap estimation algorithm using a filtered time series
• Mitigating the measurement overhead of ADAPT-VQE with optimised informationally complete generalised measurements
• Quantum circuit to estimate pi using quantum amplitude estimation
• Averaging gate approximation error and performance of Unitary Coupled Cluster ansatz in Pre-FTQC Era
• Qubit recycling and the path counting problem
• Towards Symmetry-Aware Efficient Simulation of Quantum Systems and Beyond
• Calculating potential energy surfaces with quantum computers by measuring only the density along adiabatic transitions
• Making the cut: two methods for breaking down a quantum algorithm
• Feasibility of performing quantum chemistry calculations on quantum computers
• Finding the Dynamics of an Integrable Quantum Many-Body System via Machine Learning
• Sub-universal variational circuits for combinatorial optimization problems
• On The Study Of Partial Qubit Hamiltonian For Efficient Molecular Simulation Using Variational Quantum Eigensolvers
• On Modifying the Variational Quantum Singular Value Decomposition Algorithm
• Robustness of optimized numerical estimation schemes for noisy variational quantum algorithms
• Dynamical transition in controllable quantum neural networks with large depth
• Finding eigenvectors with a quantum variational algorithm
• Investigating Techniques to Optimise the Layout of Turbines in a Windfarm using a Quantum Computer
• Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
• Arbitrary Ground State Observables from Quantum Computed Moments
• Classification and transformations of quantum circuit decompositions for permutation operations
• On quantum ensembles of quantum classifiers
• Qubit coupled cluster singles and doubles variational quantum eigensolver ansatz for electronic structure calculations
• State of practice: evaluating GPU performance of state vector and tensor network methods
• Few-body precursors of topological frustration
• Batched Line Search Strategy for Navigating through Barren Plateaus in Quantum Circuit Training
• Performance analysis of a filtering variational quantum algorithm
• Utilizing Quantum Processor for the Analysis of Strongly Correlated Materials
• Exploiting many-body localization for scalable variational quantum simulation
• Benchmarking a heuristic Floquet adiabatic algorithm for the Max-Cut problem
• Global optimization in variational quantum algorithms via dynamic tunneling method
• Effects of Topological Boundary Conditions on Bell Nonlocality
• Robust preparation of ground state phases under noisy imaginary time evolution
• Cheaper and more noise-resilient quantum state preparation using eigenvector continuation
• Quantum Sparse Coding and Decoding Based on Quantum Network
• A quantum approach for optimal control
• Machine learning logical gates for quantum error correction
• Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
• Hamiltonian Lattice Formulation of Compact Maxwell-Chern-Simons Theory
• OnionVQE Optimization Strategy for Ground State Preparation on NISQ Devices
• Adaptive Quantum Generative Training using an Unbounded Loss Function
• Efficient Large-Scale Quantum Optimization via Counterdiabatic Ansatz
• Quick design of feasible tensor networks for constrained combinatorial optimization
• Resource-efficient quantum algorithm for linear systems of equations
• High-Precision Multi-Qubit Clifford+T Synthesis by Unitary Diagonalization
• Accelerating Quantum Eigensolver Algorithms With Machine Learning
• Neural networks with quantum states of light
• Proposed Five-Electron Charge Quadrupole Qubit
• Universal approximation of continuous functions with minimal quantum circuits
• Short-time simulation of quantum dynamics by Pauli measurements
• Quantum circuit and mapping algorithms for wavepacket dynamics: case study of anharmonic hydrogen bonds in protonated and hydroxide water clusters
• Efficient Estimation and Sequential Optimization of Cost Functions in Variational Quantum Algorithms
• Efficient Fermi-Hubbard model ground-state preparation by coupling to a classical reservoir in the instantaneous-response limit
• Quantum natural gradient with thermal-state initialization
• Electronic Structure Theory with Molecular Point Group Symmetries on Quantum Annealers
• Reducing the sampling complexity of energy estimation in quantum many-body systems using empirical variance information
• High-fidelity initialization a logical qubit with multiple injections
• Hamiltonian formulations of centroid-based clustering
• Hyperfine Coupling Constants on Quantum Computers: Performance, Errors, and Future Prospects
• Notes on Quantum Computing for Thermal Science
• Quantum Simulations of Chemical Reactions: Achieving Accuracy with NISQ Devices
• Hardware-efficient quantum annealing with error mitigation via classical shadow
• Probabilistic imaginary-time evolution in state-vector-based and shot-based simulations and on quantum devices
• Parallelized Givens Ansatz for Molecular ground-states: Bridging Accuracy and Efficiency on NISQ Platforms
• Weighted Approximate Quantum Natural Gradient for Variational Quantum Eigensolver
• Improved Strategies for Fermionic Quantum Simulation with Global Interactions
• Quantum Glassiness From Efficient Learning
• Approximate Quadratization of High-Order Hamiltonians for Combinatorial Quantum Optimization
• Edge of Many-Body Quantum Chaos in Quantum Reservoir Computing
• Neural-network-assisted Monte Carlo sampling trained by Quantum Approximate Optimization Algorithm
• Self-attention U-Net decoder for toric codes
• Variational quantum algorithms with invariant probabilistic error cancellation on noisy quantum processors
• Symmetry-Checking in Band Structure Calculations on a Noisy Quantum Computer
• Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
• Optimisation-Free Recursive QAOA for the Binary Paint Shop Problem
• Generative flow-based warm start of the variational quantum eigensolver
• Quantum-inspired dynamical models on quantum and classical annealers
• Scaling Hybrid Quantum-HPC Applications with the Quantum Framework
• Multi-channel convolutional neural quantum embedding
• Phase Estimation with Compressed Controlled Time Evolution
• Screening in the Heitler-London Model: Revisiting the Bonding and Antibonding States of the Hydrogen Molecule
• QTIS: A QAOA-Based Quantum Time Interval Scheduler
• Quantum science with arrays of metastable helium-3 atoms
• Counterdiabatic ADAPT-VQE for molecular simulation
• Rovibrational energy levels of H${}_2$O by quantum computing
• Shot-based quantum encoding: a data-loading paradigm for quantum neural networks
• Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision
• Single magnon excited states of a Heisenberg spin-chain using a quantum computer
• Best-practice aspects of quantum-computer calculations: A case study of hydrogen molecule
• Reducing runtime and error in VQE using deeper and noisier quantum circuits
• ORQVIZ: Visualizing High-Dimensional Landscapes in Variational Quantum Algorithms
• Laplacian Eigenmaps with variational circuits: a quantum embedding of graph data
• Improving the Quantum Approximate Optimization Algorithm with postselection
• Approximate Phase Search and Eigen Estimation using Modified Grover's Algorithm
• Quantum Theory from Principles, Quantum Software from Diagrams
• Maritime Just-in-time navigation with Quantum algorithms
• The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
• Efficient 2D Tensor Network Simulation of Quantum Systems
• A Quantum-Inspired Algorithm for the Factorized Form of Unitary Coupled Cluster Theory
• Quantum transfer component analysis for domain adaptation
• Improving the efficiency of the multireference driven similarity renormalization group via sequential transformation, density fitting, and the non-interacting virtual orbital approximation
• Machine Learning Kernel Method from a Quantum Generative Model
• Matrix Product State on a Quantum Computer
• Unraveling Rodeo Algorithm Through the Zeeman Model
• Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection
• Low-Depth Unitary Coupled Cluster Theory for Quantum Computation
• Approaching graph problems with continuous variable quantum computing
• Improving the trainability of VQE on NISQ computers for solving portfolio optimization using convex interpolation
• Benchmarking Quantum Simulators
• Digital quantum simulation of squeezed states via enhanced bosonic encoding in a superconducting quantum processor
• Universal Euler-Cartan Circuits for Quantum Field Theories
• Quantum-Classical Computing for Time-Dependent Ion-Atom Collision Dynamics: Applications to Charge Transfer Cross Section Simulations
• Noncontextual Pauli Hamiltonians
• Quantum Algorithms for Unsupervised Machine Learning and Neural Networks
• QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation
• Hybrid Quantum-Classical Clustering for Preparing a Prior Distribution of Eigenspectrum
• NordIQuEst: the Nordic-Estonian Quantum Computing e-Infrastructure Quest
• Resource-Optimized Grouping Shadow for Efficient Energy Estimation
• Distributed Exact Generalized Grover's Algorithm
• Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
• Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion
• Sampling (noisy) quantum circuits through randomized rounding
• Gradient Scalability and Taylor Surrogation of Quantum Cost Landscapes
• Quantum Imaginary-Time Evolution with Polynomial Resources in Evolution Time
• Beyond Ground States: Physics-Inspired Optimization of Excited States of Classical Hamiltonians
• Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms
• Analog Circuit-QED Simulator of Quantum Spin Dynamics Through the Extended Bose-Hubbard Model
• The Effect of Noise on the Performance of Variational Algorithms for Quantum Chemistry
• Feed-Forward Probabilistic Error Cancellation with Noisy Recovery Gates
• Large-scale portfolio optimization with variational neural annealing
• Numerical investigation of the quantum inverse algorithm on small molecules
• Light Cone Cancellation for Variational Quantum Eigensolver in Solving Noisy Max-Cut
• Shot-Efficient ADAPT-VQE via Reused Pauli Measurements and Variance-Based Shot Allocation
• Quantum circuit evolutionary framework applied on set partitioning problem
• Extended parameter shift rules with minimal derivative variance for parameterized quantum circuits
• Quantum-Enhanced Neural Exchange-Correlation Functionals
• Inference of maximum parsimony phylogenetic trees with model-based classical and quantum methods
• Noise-Resilient Quantum Reinforcement Learning
• A quantum eigenvalue solver based on tensor networks
• Multiclass Portfolio Optimization via Variational Quantum Eigensolver with Dicke State Ansatz
• Imaginary Time Spectral Transforms for Excited State Preparation
• Role of overparametrization in quantum approximate optimization
• Preparation of the single-spinon wave function on a quantum computer
• The Quantum Ensemble Variational Optimization Algorithm: Applications to Molecular Inverse Design
• Hamiltonian-reconstruction distance as a success metric for the Variational Quantum Eigensolver
• Classical algorithms for measurement-adaptive Gaussian circuits
• Power and limitations of distributed quantum state purification
• Data-Efficient Quantum Noise Modeling via Machine Learning
• Quantum reservoir computing for predicting and characterizing chaotic maps
• Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
• On Assessing the Quantum Advantage for MaxCut Provided by Quantum Neural Network Ansätze
• Towards Compact Wavefunctions from Quantum-Selected Configuration Interaction
• Nontrivial multi-product commutation relation toward reducing T-count in sequential Pauli-based computation
• Perturbation theory, irrep truncations, and state preparation methods for quantum simulations of SU(3) lattice gauge theory
• (2+1)D quantum electrodynamics at finite density on a quantum computer
• Evaluating Ground State Energies of Chemical Systems with Low-Depth Quantum Circuits and High Accuracy
• Moments-based quantum computation of the electric dipole moment of molecular systems
• Slice-Wise Initial State Optimization to Improve Cost and Accuracy of the VQE on Lattice Models
• Bethe ansatz on a quantum computer?
• An occupation number quantum subspace expansion approach to compute the single-particle Green function: an opportunity for noise filtering
• A graphene edge-mediated quantum gate
• Utility-Scale Quantum State Preparation: Classical Training using Pauli Path Simulation
• Adaptive time Compressed QITE (ACQ) and its geometrical interpretation
• Benchmarking Quantum Simulation of Chemical Hamiltonians using the Sorted-List Encoding
• Exploiting biased noise in variational quantum models
• Quantum speed-up for solving the one-dimensional Hubbard model using quantum annealing
• A combined quantum-classical method applied to material design: optimization and discovery of photochromic materials for photopharmacology applications
• Molecular resonance identification in complex absorbing potentials via integrated quantum computing and high-throughput computing
• Topological and geometric patterns in optimal bang-bang protocols for variational quantum algorithms: application to the $XXZ$ model on the square lattice
• Orthogonal frequency-division multiplexing for simultaneous gate operations on multiple qubits via a shared control line
• Efficient Quantum Circuit Simulation by Tensor Network Methods on Modern GPUs
• Resource-Efficient Quantum Optimization via Higher-Order Encoding
• Compact cavity-dressed Hamiltonian framework at arbitrarily strong light-matter coupling
• Quantum Computation
• Quantum algorithm for one-quasiparticle excitations in the thermodynamic limit via cluster-additive block diagonalization
• A Quantum Interpretation of Bunched Logic for Quantum Separation Logic
• Correlated Purification for Restoring $N$-Representability in Quantum Simulation
• Variational Quantum Algorithms for Euclidean Discrepancy and Covariate-Balancing
• Resource Estimation for VQE on Small Molecules: Impact of Fermion Mappings and Hamiltonian Reductions
• Noisy Monitored Quantum Circuits
• Quantum State Preparation with Resolution Refinement
• Efficient implementation of single particle Hamiltonians in exponentially reduced qubit space
• Logical Abstractions for Noisy Variational Quantum Algorithm Simulation
• A Robust Strontium Tweezer Apparatus for Quantum Computing
• Quantum solver for single-impurity Anderson models with particle-hole symmetry
• Quantum Computing Demonstration of the Polaron-Molecule Transition on a NISQ Device
• Clustering and enhanced classification using a hybrid quantum autoencoder
• Quantum Phase Recognition via Quantum Attention Mechanism
• Deterministic Ground State Preparation via Power-Cosine Filtering of Time Evolution Operators
• Correction scheme for molecular total energies from quantum phase estimation under limited qubit resources
• Bayesian ACRONYM Tuning
• Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization
• Active Sampling Sample-based Quantum Diagonalization from Finite-Shot Measurements
• Resource-efficient encoding algorithm for variational bosonic quantum simulations
• A Model Context Protocol Server for Quantum Execution in Hybrid Quantum-HPC Environments
• Hybrid Path-Sums for Hybrid Quantum Programs
• Error Mitigation in Dynamic Circuits for Hamiltonian Simulation
• Diagonal-Budgeted Trotterization for Efficient Quantum Hamiltonian Simulation
• A Quantum Variational Approach to Prototypical Recurrent Unit
• DPRQ: A Dynamic Programming-based Qubit Routing Algorithm for Collective Communication in Distributed Quantum Computing
• Distributed variational quantum computing with deterministic entanglement tuning
• Variational Quantum Algorithm for Constrained Combinatorial Optimization Problems
• Velocity Verlet-based optimization for variational quantum eigensolvers
• Hardness of efficiently generating ground states in postselected quantum computation
• QAISim: A Toolkit for Modeling and Simulation of AI in Quantum Cloud Computing Environments
• The Virtual Quantum Device (VQD): A tool for detailed emulation of quantum computers
• Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
• Mapping quantum chemical dynamics problems onto spin-lattice simulators
• Real-time hybrid quantum-classical computations for trapped-ions with Python control-flow
• Extension of the Jordan-Wigner mapping to nonorthogonal spin orbitals for quantum computing application to valence bond approaches
• Accelerating Fermionic System Simulation on Quantum Computers
• Fast Bit-Flipping based on a Stability Transition of Coupled Spins
• POPQC: Parallel Optimization for Quantum Circuits (Extended Version)
• Efficacious qubit mappings for quantum simulations of the ${}^{12}$C rotational band
• Quantum Computing Solution of the Bethe-Salpeter Equation for Relativistic Scalar Bound States via Tensor-Network VQE
• Quantum memory assisted observable estimation
• Many-Fermion Simulation from the Contracted Quantum Eigensolver without Fermionic Encoding of the Wave Function
• Resonant Coupling Parameter Estimation with Superconducting Qubits
• Degeneracy Engineering for Classical and Quantum Annealing: A Case Study of Sparse Linear Regression in Collider Physics
• Toward Density Functional Theory on Quantum Computers?
• Quantum relaxed row and column iteration methods based on block-encoding
• Circuit connectivity boosts by quantum-classical-quantum interfaces
• Quantum Algorithm for a Convergent Series of Approximations towards the Exact Solution of the Lowest Eigenstates of a Hamiltonian
• Designing a Machine Learning-Driven, Cross-Hardware Emulator for Noisy Quantum Computers with Gate-Based Protocols
• Capabilities and Limits of the Unitary Coupled-cluster Approach with Generalized Two-body Cluster Operators
• Excitations of Quantum Many-Body Systems via Purified Ensembles: A Unitary-Coupled-Cluster-based Approach
• Provable and Verifiable Quantum Advantage in Sample Complexity
• Quantum Optimal Control for Pure-State Preparation Using One Initial State
• Enhancing quantum computations with the synergy of auxiliary field quantum Monte Carlo and computational basis tomography
• Disentangling quantum autoencoder
• Hybrid Quantum-Classical Multi-cut Benders Approach with a Power System Application
• Wavefunction optimization at the complete basis set limit with Multiwavelets and DMRG
• Optical Quantum Computing
• Quantum Circuit Optimization by Graph Coloring
• Interpolation-based coordinate descent method for parameterized quantum circuits
• A Quantum Constraint Generation Framework for Binary Linear Programs
• Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits
• A quantum wire approach to weighted combinatorial graph optimisation problems
• Towards a NISQ Algorithm to Simulate Hermitian Matrix Exponentiation
• Entropy density benchmarking of near-term quantum circuits
• Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem
• Error and Resource Estimates of Variational Quantum Algorithms for Solving Differential Equations Based on Runge-Kutta Methods
• Reduced Sampling Overhead for Probabilistic Error Cancellation by Pauli Error Propagation
• Analog Quantum Approximate Optimization Algorithm
• Robust phase estimation of the ground-state energy without controlled time evolution on a quantum device
• Gaussian Amplitude Amplification for Quantum Pathfinding
• Quantum phase classification via partial tomography-based quantum hypothesis testing
• Exploring Airline Gate-Scheduling Optimization Using Quantum Computers
• Chemistry beyond the Hartree-Fock limit via quantum computed moments
• Variational Quantum Subspace Construction via Symmetry-Preserving Cost Functions
• PHOENIX: Pauli-Based High-Level Optimization Engine for Instruction Execution on NISQ Devices
• An unsupervised feature learning for quantum-classical convolutional network with applications to fault detection
• iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures
• Gate Efficient Composition of Hamiltonian Simulation and Block-Encoding with its Application on HUBO, Chemistry and Finite Difference Method
• Quantum imaginary time evolution and UD-MIS problem
• Optimizing Unitary Coupled Cluster Wave Functions on Quantum Hardware: Error Bound and Resource-Efficient Optimizer
• Application of Langevin Dynamics to Advance the Quantum Natural Gradient Optimization Algorithm
• Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks
• Double-bracket quantum algorithms for high-fidelity ground state preparation
• Preparing the Gutzwiller wave function for attractive SU(3) fermions on a quantum computer
• Variational Quantum Algorithm for Solving the Liouvillian Gap
• Quantum Signal Processing and Quantum Singular Value Transformation on $U(N)$
• Quantum Advantage via Efficient Post-processing on Qudit Classical Shadow tomography
• Unbiased observable estimation with approximate channels in fault-tolerant quantum computation
• Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing
• Reflection-Based Adiabatic State Preparation
• Solving Sharp Bounded-error Quantum Polynomial Time Problem by Evolution methods
• Doubling Qubits in a Trapped-Ion System via Vibrational Dual-Rail Encoding
• A variational quantum eigensolver tailored to multi-band tight-binding simulations of electronic structures
• Application of graph theory in quantum computer science