Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets

Abstract

Quantum computers can be used to address molecular structure, materials science and condensed matter physics problems, which currently stretch the limits of existing high-performance computing resources. Finding exact numerical solutions to these interacting fermion problems has exponential cost, while Monte Carlo methods are plagued by the fermionic sign problem. These limitations of classical computational methods have made even few-atom molecular structures problems of practical interest for medium-sized quantum computers. Yet, thus far experimental implementations have been restricted to molecules involving only Period I elements. Here, we demonstrate the experimental optimization of up to six-qubit Hamiltonian problems with over a hundred Pauli terms, determining the ground state energy for molecules of increasing size, up to BeH2. This is enabled by a hardware-efficient variational quantum eigensolver with trial states specifically tailored to the available interactions in our quantum processor, combined with a compact encoding of fermionic Hamiltonians and a robust stochastic optimization routine. We further demonstrate the flexibility of our approach by applying the technique to a problem of quantum magnetism. Across all studied problems, we find agreement between experiment and numerical simulations with a noisy model of the device. These results help elucidate the requirements for scaling the method to larger systems, and aim at bridging the gap between problems at the forefront of high-performance computing and their implementation on quantum hardware.

6 pages, 4 figures in main text. 18 pages, 9 figures in supplementary information

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• Expressibility and trainability of parameterized analog quantum systems for machine learning applications
• Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network
• A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding
• Robust and Efficient Hamiltonian Learning
• Ancilla-free implementation of generalized measurements for qubits embedded in a qudit space
• Mitigating Barren Plateaus with Transfer-learning-inspired Parameter Initializations
• Network architecture for a topological quantum computer in silicon
• Prospects for Simulating a Qudit Based Model of (1+1)d Scalar QED
• Digital-analog quantum algorithm for the quantum Fourier transform
• Quantum Architecture Search: A Survey
• Modeling and mitigation of cross-talk effects in readout noise with applications to the Quantum Approximate Optimization Algorithm
• Neural-network states for the classical simulation of quantum computing
• Gutzwiller Hybrid Quantum-Classical Computing Approach for Correlated Materials
• Experimental benchmarking of an automated deterministic error suppression workflow for quantum algorithms
• Symmetry enhanced variational quantum spin eigensolver
• Quantum computing for chemistry and physics applications from a Monte Carlo perspective
• Microcanonical and finite temperature ab initio molecular dynamics simulations on quantum computers
• Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems
• Comparative study of variations in quantum approximate optimization algorithms for the Traveling Salesman Problem
• Toward convergence of effective field theory simulations on digital quantum computers
• NP-hard but no longer hard to solve? Using quantum computing to tackle optimization problems
• Orbital transformations to reduce the 1-norm of the electronic structure Hamiltonian for quantum computing applications
• Hybrid quantum-classical neural network for calculating ground state energies of molecules
• Synthesizing three-body interaction of spin chirality with superconducting qubits
• 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
• Absence of barren plateaus in finite local-depth circuits with long-range entanglement
• Evaluation of QAOA based on the approximation ratio of individual samples
• Analog Errors in Ising Machines
• Quantum Architecture Search with Meta-learning
• Dimensionality reduction of many-body problem using coupled-cluster sub-system flow equations: classical and quantum computing perspective
• Exact and approximate symmetry projectors for the electronic structure problem on a quantum computer
• Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry
• Efficient realization of quantum algorithms with qudits
• Variational Quantum Anomaly Detection: Unsupervised mapping of phase diagrams on a physical quantum computer
• Error detection on quantum computers improves accuracy of chemical calculations
• Many-body Hierarchy of Dissipative Timescales in a Quantum Computer
• Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights
• High Coherence Plane Breaking Packaging for Superconducting Qubits
• Towards Dynamic Simulations of Materials on Quantum Computers
• Modeling Noisy Quantum Circuits Using Experimental Characterization
• High Dimensional Quantum Machine Learning With Small Quantum Computers
• Quantum Simulation of Chiral Phase Transitions
• Automated Error Correction in IBM Quantum Computer and Explicit Generalization
• Observation of wave-packet branching through an engineered conical intersection
• Real-time quantum calculations of phase shifts using wave packet time delays
• Quantum computed moments correction to variational estimates
• Optimal compression of quantum many-body time evolution operators into brickwall circuits
• Algorithmic Error Mitigation Scheme for Current Quantum Processors
• Hardware-Efficient Bosonic Quantum Error-Correcting Codes Based on Symmetry Operators
• Long-time simulations with high fidelity on quantum hardware
• Quantum Computing for Fusion Energy Science Applications
• Quantum Approximate Optimization Algorithm with Adaptive Bias Fields
• Is all-electrical silicon quantum computing feasible in the long term?
• Ground-state energy estimation of the water molecule on a trapped ion quantum computer
• Gauge invariant quantum circuits for $U(1)$ and Yang-Mills lattice gauge theories
• Predicting toxicity by quantum machine learning
• Analysis of Quantum Approximate Optimization Algorithm under Realistic Noise in Superconducting Qubits
• Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding
• Large-scale GHZ states through topologically protected zero-energy mode in a superconducting qutrit-resonator chain
• Variational Quantum Evolution Equation Solver
• The Bonsai algorithm: grow your own fermion-to-qubit mapping
• Optimal quantum control with poor statistics
• Optimizing quantum circuits with Riemannian gradient flow
• Structural risk minimization for quantum linear classifiers
• Quantum utility -- definition and assessment of a practical quantum advantage
• Estimating distinguishability measures on quantum computers
• Variational quantum eigensolver techniques for simulating carbon monoxide oxidation
• New Trends in Quantum Machine Learning
• Probing many-body localization by excited-state VQE
• Decision Diagrams for Quantum Measurements with Shallow Circuits
• A Neural-Network Variational Quantum Algorithm for Many-Body Dynamics
• Non-trivial symmetries in quantum landscapes and their resilience to quantum noise
• Maximal entropy approach for quantum state tomography
• Vacuum-gap transmon qubits realized using flip-chip technology
• Towards Quantum Simulations in Particle Physics and Beyond on Noisy Intermediate-Scale Quantum Devices
• 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
• Variational Quantum Approximate Support Vector Machine with Inference Transfer
• Error statistics and scalability of quantum error mitigation formulas
• Quantum Information Scrambling: From Holography to Quantum Simulators
• From the Jaynes-Cummings model to non-Abelian gauge theories: a guided tour for the quantum engineer
• Quantum readout error mitigation via deep learning
• Generalized Quantum Assisted Simulator
• Pulse variational quantum eigensolver on cross-resonance based hardware
• Quantum optimal control with quantum computers: an hybrid algorithm featuring machine learning optimization
• Shallow-circuit variational quantum eigensolver based on symmetry-inspired Hilbert space partitioning for quantum chemical calculations
• Generalization of the output of variational quantum eigensolver by parameter interpolation with low-depth ansatz
• Hessian-based optimization of constrained quantum control
• Noisy intermediate-scale quantum algorithm for semidefinite programming
• Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits
• Bootstrapping quantum process tomography via a perturbative ansatz
• Predicting quantum dynamical cost landscapes with deep learning
• Variational quantum algorithm with information sharing
• Quantum neural networks to simulate many-body quantum systems
• Scaling Up Electronic Structure Calculations on Quantum Computers: The Frozen Natural Orbital Based Method of Increments
• QuCumber: wavefunction reconstruction with neural networks
• Seeking a quantum advantage with trapped-ion quantum simulations of condensed-phase chemical dynamics
• Quantum expectation-value estimation by computational basis sampling
• End-to-End Quantum Machine Learning Implemented with Controlled Quantum Dynamics
• Observation of higher-order topological states on a quantum computer
• Nondestructive discrimination of a new family of highly entangled states in IBM quantum computer
• Verifying Random Quantum Circuits with Arbitrary Geometry Using Tensor Network States Algorithm
• Improved algorithms of quantum imaginary time evolution for ground and excited states of molecular systems
• Systematic study of High $E_J/E_C$ transmon qudits up to $d=12$
• Operator Sampling for Shot-frugal Optimization in Variational Algorithms
• Folded Spectrum VQE : A quantum computing method for the calculation of molecular excited states
• Quantum computation of silicon electronic band structure
• A brief introduction to quantum algorithms
• Quantum Teleportation-Inspired Algorithm for Sampling Large Random Quantum Circuits
• Quantum imaginary time evolution steered by reinforcement learning
• Pulse based Variational Quantum Optimal Control for hybrid quantum computing
• Variational quantum algorithm for experimental photonic multiparameter estimation
• Efficient Quantum State Sample Tomography with Basis-dependent Neural-networks
• Steering-enhanced quantum metrology using superpositions of noisy phase shifts
• Simulating Noisy Variational Quantum Algorithms: A Polynomial Approach
• Hybrid digital-analog simulation of many-body dynamics with superconducting qubits
• Entangled Datasets for Quantum Machine Learning
• Ab Initio Molecular Dynamics on Quantum Computers
• Variational waveguide QED simulators
• Avoiding symmetry roadblocks and minimizing the measurement overhead of adaptive variational quantum eigensolvers
• Projection algorithm for state preparation on quantum computers
• A Performance Study of Variational Quantum Algorithms for Solving the Poisson Equation on a Quantum Computer
• Challenges in the use of quantum computing hardware-efficient Ansatze in electronic structure theory
• Resource-Optimized Fermionic Local-Hamiltonian Simulation on Quantum Computer for Quantum Chemistry
• Applying quantum approximate optimization to the heterogeneous vehicle routing problem
• Variational Quantum Linear Solver with Dynamic Ansatz
• QVECTOR: an algorithm for device-tailored quantum error correction
• Classification of dynamical Lie algebras for translation-invariant 2-local spin systems in one dimension
• Fourier expansion in variational quantum algorithms
• Hamiltonian operator approximation for energy measurement and ground state preparation
• Quantum-embedding description of the Anderson lattice model with the ghost Gutzwiller Approximation
• Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
• Quantum Computing Techniques for Multi-Knapsack Problems
• Designing Quantum Annealing Schedules using Bayesian Optimization
• Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
• Improving the accuracy and efficiency of quantum connected moments expansions
• Contextual Subspace Variational Quantum Eigensolver
• Mermin's Inequalities of Multiple qubits with Orthogonal Measurements on IBM Q 53-qubit system
• Hybrid classical-quantum linear solver using Noisy Intermediate-Scale Quantum machines
• Quantum kernels to learn the phases of quantum matter
• Gradient-descent quantum process tomography by learning Kraus operators
• Controlled-Controlled-Phase Gates for Superconducting Qubits Mediated by a Shared Tunable Coupler
• Hybrid quantum-classical optimization for financial index tracking
• Training variational quantum circuits with CoVaR: covariance root finding with classical shadows
• The effect of atomic structure on the electrical response of aluminium oxide tunnel junctions
• The Fermionic Quantum Emulator
• Probing Geometric Excitations of Fractional Quantum Hall States on Quantum Computers
• Designing calibration and expressivity-efficient instruction sets for quantum computing
• Improving the variational quantum eigensolver using variational adiabatic quantum computing
• Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions
• Quantum simulations employing connected moments expansions
• Molecular Excited State Calculations with Adaptive Wavefunctions on a Quantum Eigensolver Emulation: Reducing Circuit Depth and Separating Spin States
• Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers
• Variational Quantum Simulation of Ultrastrong Light-Matter Coupling
• Canonical circuit quantization with linear nonreciprocal devices
• The Cost of Improving the Precision of the Variational Quantum Eigensolver for Quantum Chemistry
• Coupled Cluster Downfolding Methods: the effect of double commutator terms on the accuracy of ground-state energies
• Selected topics of quantum computing for nuclear physics
• Statistical phase estimation and error mitigation on a superconducting quantum processor
• Simulating Time Evolution with Fully Optimized Single-Qubit Gates on Parameterized Quantum Circuits
• Application of Pontryagin's Minimum Principle to Grover's Quantum Search Problem
• Accelerated variational algorithms for digital quantum simulation of many-body ground states
• Emulating two qubits with a four-level transmon qudit for variational quantum algorithms
• An evolving objective function for improved variational quantum optimisation
• Experimental Data from a Quantum Computer Verifies the Generalized Pauli Exclusion Principle
• Variationally Scheduled Quantum Simulation
• Multi-mode architectures for noise-resilient superconducting qubits
• Reinforcement learning for semi-autonomous approximate quantum eigensolver
• Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
• Efficient variational synthesis of quantum circuits with coherent multi-start optimization
• Continuous-variable assisted thermal quantum simulation
• Anomalous Josephson current through a driven double quantum dot
• Quantum Computation of Phase Transition in the Massive Schwinger Model
• Quantum Fourier analysis for multivariate functions and applications to a class of Schrödinger-type partial differential equations
• Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits
• Generic detection-based error-mitigation using quantum autoencoders
• Diagonalization of large many-body Hamiltonians on a quantum processor
• Quantum variational learning for quantum error-correcting codes
• Subdivided Phase Oracle for NISQ Search Algorithms
• Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture
• Quantum simulation of molecules in solution
• Let Quantum Neural Networks Choose Their Own Frequencies
• Evaluation of Parameterized Quantum Circuits with Cross-Resonance Pulse-Driven Entanglers
• Quantum neural networks force fields generation
• Training variational quantum algorithms with random gate activation
• Accelerating the variational quantum eigensolver using parallelism
• Efficient calculation of gradients in classical simulations of variational quantum algorithms
• Entanglement Production and Convergence Properties of the Variational Quantum Eigensolver
• Predicting excited states from ground state wavefunction by supervised quantum machine learning
• Neural network encoded variational quantum algorithms
• Collective optimization for variational quantum eigensolvers
• Topology-Driven Quantum Architecture Search Framework
• Simulating Molecular Spectroscopy with Circuit Quantum Electrodynamics
• Adaptive variational quantum minimally entangled typical thermal states for finite temperature simulations
• Information processing at the speed of light
• Efficient estimation of trainability for variational quantum circuits
• Experimental Quantum Simulation of Chemical Dynamics
• Doubly optimal parallel wire cutting without ancilla qubits
• Quantifying non-stabilizerness via information scrambling
• The Basics of Quantum Computing for Chemists
• Towards Cosmological Simulations of Dark Matter on Quantum Computers
• Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
• Calibrating the role of entanglement in variational quantum circuits
• A tree tensor network approach to simulating Shor's algorithm
• Towards the Practical Application of Near-Term Quantum Computers in Quantum Chemistry Simulations: A Problem Decomposition Approach
• Group-theoretic error mitigation enabled by classical shadows and symmetries
• Ultrastrong tunable coupler between superconducting LC resonators
• Low-depth Hamiltonian Simulation by Adaptive Product Formula
• Towards a variational Jordan-Lee-Preskill quantum algorithm
• Finite-size criticality in fully connected spin models on superconducting quantum hardware
• Limitations of optimization algorithms on noisy quantum devices
• Quantum Machine Learning Tensor Network States
• AGP-based unitary coupled cluster theory for quantum computers
• Automated Quantum Circuit Design with Nested Monte Carlo Tree Search
• Molecular Quantum Circuit Design: A Graph-Based Approach
• Schrödinger-Heisenberg Variational Quantum Algorithms
• Quantum simulations of Fermionic Hamiltonians with efficient encoding and ansatz schemes
• Superconducting qubits beyond the dispersive regime
• Sparse Quantum State Preparation for Strongly Correlated Systems
• A diagrammatic approach to variational quantum ansatz construction
• Complete Quantum-State Tomography with a Local Random Field
• Stochastic noise can be helpful for variational quantum algorithms
• Towards an Automated Framework for Realizing Quantum Computing Solutions
• Quantum Circuit Design Methodology for Multiple Linear Regression
• Quantum simulation of battery materials using ionic pseudopotentials
• Using Differential Evolution to avoid local minima in Variational Quantum Algorithms
• The effect of quantum noise on algorithmic perfect quantum state transfer on NISQ processors
• Quantum Computing: Vision and Challenges
• Quantum computing quantum Monte Carlo with hybrid tensor network for electronic structure calculations
• Inference-Based Quantum Sensing
• Incompressible Navier-Stokes solve on noisy quantum hardware via a hybrid quantum-classical scheme
• PANSATZ: Pulse-based Ansatz for Variational Quantum Algorithms
• Classical Splitting of Parametrized Quantum Circuits
• Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement
• Quantum approximate Bayesian computation for NMR model inference
• Distributed quantum architecture search
• A systematic variational approach to band theory in a quantum computer
• Exact quantization of superconducting circuits
• Demonstration of low-overhead quantum error correction codes
• Charge and spin response functions on a quantum computer: applications to molecules
• Making existing software quantum safe: a case study on IBM Db2
• Classical Simulation of Noncontextual Pauli Hamiltonians
• Pulse-efficient quantum machine learning
• Reducing the amount of single-qubit rotations in VQE and related algorithms
• Enhanced connectivity of quantum hardware with digital-analog control
• Recompilation-enhanced simulation of electron-phonon dynamics on IBM Quantum computers
• Certification of quantum states with hidden structure of their bitstrings
• Hardware-efficient fermionic simulation with a cavity-QED system
• Stability of noisy quantum computing devices
• Here comes the SU(N): multivariate quantum gates and gradients
• TenCirChem: An Efficient Quantum Computational Chemistry Package for the NISQ Era
• Hierarchical Clifford transformations to reduce entanglement in quantum chemistry wavefunctions
• Short-depth circuits for efficient expectation value estimation
• Accelerating Quantum Computations of Chemistry Through Regularized Compressed Double Factorization
• Approximate complex amplitude encoding algorithm and its application to data classification problems
• Many-body calculations for periodic materials via quantum machine learning
• Chemically Aware Unitary Coupled Cluster with ab initio Calculations on System Model H1: A Refrigerant Chemicals Application
• Superconducting quantum many-body circuits for quantum simulation and computing
• Calculating nonadiabatic couplings and Berry's phase by variational quantum eigensolvers
• Ion transport and reordering in a two-dimensional trap array
• Synthetic gauge field and chiral physics on two-leg superconducting circuits
• Improved Quantum Computing with the Higher-order Trotter Decomposition
• Quantum Dropout: On and Over the Hardness of Quantum Approximate Optimization Algorithm
• Adaptive Circuit Learning for Quantum Metrology
• Latency considerations for stochastic optimizers in variational quantum algorithms
• Implementation of Measurement Reduction for the Variational Quantum Eigensolver
• A hybrid quantum-classical framework for computational fluid dynamics
• Simulating strongly interacting Hubbard chains with the Variational Hamiltonian Ansatz on a quantum computer
• Fault-tolerant quantum algorithms for quantum molecular systems: A survey
• Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning
• Networked Quantum Services
• Accelerated variational quantum eigensolver with joint Bell measurement
• Enhanced coherence in superconducting circuits via band engineering
• Quantum Simulation of Second-Quantized Hamiltonians in Compact Encoding
• Variational quantum algorithm for ergotropy estimation in quantum many-body batteries
• Discriminating mixed qubit states with collective measurements
• Computing exact moments of local random quantum circuits via tensor networks
• Variational Simulation of Schwinger's Hamiltonian with Polarisation Qubits
• Calculating the ground state energy of benzene under spatial deformations with noisy quantum computing
• Spatial, spin, and charge symmetry projections for a Fermi-Hubbard model on a quantum computer
• Mitigating algorithmic errors in quantum optimization through energy extrapolation
• Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
• Dual frame optimization for informationally complete quantum measurements
• Extending the Variational Quantum Eigensolver to Finite Temperatures
• Simulating noisy variational quantum eigensolver with local noise models
• Quantum computer-aided design: digital quantum simulation of quantum processors
• Experimental Demonstration of Quantum Tunneling in IBM Quantum Computer
• Complete characterization of the directly implementable quantum gates used in the IBM quantum processors
• A tunable quantum dissipator for active resonator reset in circuit QED
• Quantum algorithms for the generalized eigenvalue problem
• Certified variational quantum algorithms for eigenstate preparation
• Optimizing the information extracted by a single qubit measurement
• Enhanced observable estimation through classical optimization of informationally over-complete measurement data -- beyond classical shadows
• Relation between fermionic and qubit mean fields in the electronic structure problem
• Impacts of Noise and Structure on Quantum Information Encoded in a Quantum Memory
• Connecting geometry and performance of two-qubit parameterized quantum circuits
• Variational dynamics as a ground-state problem on a quantum computer
• Quantum algorithms for scientific computing
• The Unified Effect of Data Encoding, Ansatz Expressibility and Entanglement on the Trainability of HQNNs
• GSQAS: Graph Self-supervised Quantum Architecture Search
• Quantum circuits for the preparation of spin eigenfunctions on quantum computers
• Weakly Flux-Tunable Superconducting Qubit
• Disorder-dressed quantum evolution
• Quantum communication protocols as a benchmark for quantum computers
• Nuclear scattering via quantum computing
• Estimating Patterns of Classical and Quantum Skyrmion States
• Efficient Two-Electron Ansatz for Benchmarking Quantum Chemistry on a Quantum Computer
• Quantum Circuit AutoEncoder
• Berry Phase Estimation in Gate-Based Adiabatic Quantum Simulation
• Quantum Simulation of the N flavor Gross-Neveu Model
• Protecting Quantum Information in Quantum Dot Spin Chains by Driving Exchange Interactions Periodically
• Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double
• Variational wavefunctions for Sachdev-Ye-Kitaev models
• Variational quantum solver employing the PDS energy functional
• Conditional Born machine for Monte Carlo event generation
• Quantum State Tomography with Conditional Generative Adversarial Networks
• A variational quantum algorithm for Hamiltonian diagonalization
• Accurate and Efficient Quantum Computations of Molecular Properties Using Daubechies Wavelet Molecular Orbitals: A Benchmark Study against Experimental Data
• Discretized quantum adiabatic process for free fermions and comparison with the imaginary-time evolution
• Estimating Quantum Hamiltonians via Joint Measurements of Noisy Non-Commuting Observables
• FLIP: A flexible initializer for arbitrarily-sized parametrized quantum circuits
• Quantum Energy Landscape and VQA Optimization
• Q${}^2$Chemistry: A quantum computation platform for quantum chemistry
• On the static effective Lindbladian of the squeezed Kerr oscillator
• Assessment of various Hamiltonian partitionings for the electronic structure problem on a quantum computer using the Trotter approximation
• Test of the unitary coupled-cluster variational quantum eigensolver for a simple strongly correlated condensed-matter system
• Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver
• Calibration of Drive Non-Linearity for Arbitrary-Angle Single-Qubit Gates Using Error Amplification
• Optimal joint cutting of two-qubit rotation gates
• Relaxation of a Stationary State on a Quantum Computer Yields Unique Spectroscopic Fingerprint of the Computer's Noise
• Modeling low- and high-frequency noise in transmon qubits with resource-efficient measurement
• Convergence of reconstructed density matrix to a pure state using maximal entropy approach
• Ensemble-learning error mitigation for variational quantum shallow-circuit classifiers
• Optically controlled polariton condensate molecules
• Quantum Simulation of Klein Gordon Equation and Observation of Klein Paradox in IBM Quantum Computer
• Error mitigation by training with fermionic linear optics
• Fault-Tolerant Computing with Single Qudit Encoding
• Simulating gauge theories with variational quantum eigensolvers in superconducting microwave cavities
• Improved variational quantum eigensolver via quasi-dynamical evolution
• Quantum simulations of molecular systems with intrinsic atomic orbitals
• Quantum Locker Using a Novel Verification Algorithm and Its Experimental Realization in IBM Quantum Computer
• Unraveling correlated material properties with noisy quantum computers: Natural orbitalized variational quantum eigensolving of extended impurity models within a slave-boson approach
• Quantum interference device for controlled two-qubit operations
• Extension of the Trotterized Unitary Coupled Cluster to Triple Excitations
• Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms
• Quantum Continual Learning Overcoming Catastrophic Forgetting
• A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits
• Atom-Orbital Qubits under Holonomic Quantum Control
• Measurement optimization of variational quantum simulation by classical shadow and derandomization
• Quantum Gaussian filter for exploring ground-state properties
• General error mitigation for quantum circuits
• Variational determination of multi-qubit geometrical entanglement in NISQ computers
• Variational Approach to Quantum State Tomography based on Maximal Entropy Formalism
• Benchmarking the Variational Quantum Eigensolver through Simulation of the Ground State Energy of Prebiotic Molecules on High-Performance Computers
• Neural network enhanced measurement efficiency for molecular groundstates
• Fast, high precision dynamics in quantum optimal control theory
• Fermionic correlation functions from randomized measurements in programmable atomic quantum devices
• Lowering Tomography Costs in Quantum Simulation with a Symmetry Projected Operator Basis
• Mixer-Phaser Ansätze for Quantum Optimization with Hard Constraints
• Learning How to Dynamically Decouple
• Quantum Computation of Hydrogen Bond Dynamics and Vibrational Spectra
• A stabilizer framework for Contextual Subspace VQE and the noncontextual projection ansatz
• Quantum Circuit Evolution on NISQ Devices
• A Quantum Interior-Point Predictor-Corrector Algorithm for Linear Programming
• Natural parameterized quantum circuit
• Dynamical mean-field theory for the Hubbard-Holstein model on a quantum device
• Gutzwiller wave function on a quantum computer using a discrete Hubbard-Stratonovich transformation
• Leveraging Randomized Compiling for the QITE Algorithm
• Towards Finding an Optimal Flight Gate Assignment on a Digital Quantum Computer
• Assessment of the variational quantum eigensolver: application to the Heisenberg model
• Quantum gradient descent algorithms for nonequilibrium steady states and linear algebraic systems
• Simulating neutrino oscillations on a superconducting qutrit
• On the universality of $S_n$-equivariant $k$-body gates
• Exploring Parameter Redundancy in the Unitary Coupled-Cluster Ansatze for Hybrid Variational Quantum Computing
• Overhead-constrained circuit knitting for variational quantum dynamics
• Multi-Level Variational Spectroscopy using a Programmable Quantum Simulator
• Variational quantum algorithms for scanning the complex spectrum of non-Hermitian systems
• EHA: Entanglement-variational Hardware-efficient Ansatz for Eigensolvers
• Critical behavior of Ising model by preparing thermal state on quantum computer
• Counterdiabatic optimized driving in quantum phase sensitive models
• A blueprint for a Digital-Analog Variational Quantum Eigensolver using Rydberg atom arrays
• Tensor-network-assisted variational quantum algorithm
• Retrieving past quantum features with deep hybrid classical-quantum reservoir computing
• Fermionic approach to variational quantum simulation of Kitaev spin models
• Quantum Computing and Tensor Networks for Laminate Design: A Novel Approach to Stacking Sequence Retrieval
• Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets
• Computationally Efficient Quantum Expectation with Extended Bell Measurements
• Noise-Resistant Quantum State Compression Readout
• Thermal variational quantum simulation on a superconducting quantum processor
• Entanglement Diagnostics for Efficient Quantum Computation
• Reducing the Resources Required by ADAPT-VQE Using Coupled Exchange Operators and Improved Subroutines
• How to enhance quantum generative adversarial learning of noisy information
• Special Session: Noisy Intermediate-Scale Quantum (NISQ) Computers -- How They Work, How They Fail, How to Test Them?
• Adiabatic quantum simulations with driven superconducting qubits
• Hybrid quantum variational algorithm for simulating open quantum systems with near-term devices
• Coulomb interaction-driven entanglement of electrons on helium
• Hybrid quantum-classical algorithms for solving quantum chemistry in Hamiltonian-wavefunction space
• Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
• Numerical hardware-efficient variational quantum simulation of a soliton solution
• Sampling and scrambling on a chain of superconducting qubits
• Deterministic one-way logic gates on a cloud quantum computer
• Quantum Gaussian process model of potential energy surface for a polyatomic molecule
• Bounding the joint numerical range of Pauli strings by graph parameters
• Variational Quantum Algorithms for Steady States of Open Quantum Systems
• Energy efficient mining on a quantum-enabled blockchain using light
• Optimizing Variational Quantum Algorithms with qBang: Efficiently Interweaving Metric and Momentum to Navigate Flat Energy Landscapes
• Benchmarking quantum gates and circuits
• Quantum-machine-learning channel discrimination
• Witnessing quantum chaos using observational entropy
• Quantum computing Floquet energy spectra
• Exhaustive search for optimal molecular geometries using imaginary-time evolution on a quantum computer
• Simulating scalar field theories on quantum computers with limited resources
• VQE Method: A Short Survey and Recent Developments
• Quantum error mitigation for Fourier moment computation
• On the sampling complexity of open quantum systems
• Quantum computing through the lens of control: A tutorial introduction
• Automatic quantum circuit encoding of a given arbitrary quantum state
• Quantum Algorithms for Inverse Participation Ratio Estimation in multi-qubit and multi-qudit systems
• Scattering phase shifts from a quantum computer
• QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation
• Simulation of wave-particle duality in multi-path interferometers on a quantum computer
• Robustness to spontaneous emission of a variational quantum algorithm
• Improved approximation algorithms for bounded-degree local Hamiltonians
• Quantum Search Approaches to Sampling-Based Motion Planning
• Hardware-Tailored Diagonalization Circuits
• Development of transmon qubits solely from optical lithography on 300mm wafers
• Single-component gradient rules for variational quantum algorithms
• Dissipative variational quantum algorithms for Gibbs state preparation
• Exploiting dynamic quantum circuits in a quantum algorithm with superconducting qubits
• Beyond MP2 initialization for unitary coupled cluster quantum circuits
• Incoherent quantum algorithm dynamics of an open system with near-term devices
• A Quantum Computing Implementation of Nuclear-Electronic Orbital (NEO) Theory: Towards an Exact pre-Born-Oppenheimer Formulation of Molecular Quantum Systems
• Comparative study of quantum error correction strategies for the heavy-hexagonal lattice
• Natural orbitals and sparsity of quantum mutual information
• Variational quantum state preparation via quantum data buses
• Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
• Simulating a ring-like Hubbard system with a quantum computer
• Experimental Quantum Learning of a Spectral Decomposition
• Microwave-based Arbitrary CPHASE Gates for Transmon Qubits
• Expressivity of Variational Quantum Machine Learning on the Boolean Cube
• Benchmarking Quantum State Transfer on Quantum Devices using Spatio-Temporal Steering
• Partitioning Quantum Chemistry Simulations with Clifford Circuits
• A Multiscale Simulation Approach for Germanium-Hole-Based Quantum Processor
• Highly optimized quantum circuits synthesized via data-flow engines
• Robust measurement of wave function topology on NISQ quantum computers
• Molecular Structure Optimization based on Electrons-Nuclei Quantum Dynamics Computation
• Transit facility allocation: Hybrid quantum-classical optimization
• A hybrid scheme for prime factorization and its experimental implementation using IBM quantum processor
• Resource analysis of quantum algorithms for coarse-grained protein folding models
• Estimating the randomness of quantum circuit ensembles up to 50 qubits
• QDNN: DNN with Quantum Neural Network Layers
• QCOR: A Language Extension Specification for the Heterogeneous Quantum-Classical Model of Computation
• Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization
• Near-Term Quantum-Classical Associative Adversarial Networks
• Noise-induced shallow circuits and absence of barren plateaus
• Towards chemical accuracy with shallow quantum circuits: A Clifford-based Hamiltonian engineering approach
• Solving an Industrially Relevant Quantum Chemistry Problem on Quantum Hardware
• Neural networks in quantum many-body physics: a hands-on tutorial
• Excited-state molecular dynamics simulation based on variational quantum algorithms
• Kernel-based quantum regressor models learn non-Markovianity
• Coarse grained intermolecular interactions on quantum processors
• Observational entropic study of Anderson localization
• Quantum error reduction with deep neural network applied at the post-processing stage
• Unitary Partitioning and the Contextual Subspace Variational Quantum Eigensolver
• Engineering Cross Resonance Interaction in Multi-modal Quantum Circuits
• Randomized measurement protocols for lattice gauge theories
• VanQver: The Variational and Adiabatically Navigated Quantum Eigensolver
• Quantum Information Driven Ansatz (QIDA): shallow-depth empirical quantum circuits from Quantum Chemistry
• Measurement-induced entanglement phase transitions in variational quantum circuits
• Benchmarking Noisy Intermediate Scale Quantum Error Mitigation Strategies for Ground State Preparation of the HCl Molecule
• A Hybrid Classical Quantum Computing Approach to the Satellite Mission Planning Problem
• Robustness of Variational Quantum Algorithms against stochastic parameter perturbation
• Direct implementation of a perceptron in superconducting circuit quantum hardware
• A Generic Compilation Strategy for the Unitary Coupled Cluster Ansatz
• Input-output theory for superconducting and photonic circuits that contain weak retro-reflections and other weak pseudo-cavities
• Towards Quantum Gravity in the Lab on Quantum Processors
• Adiabatic quantum algorithm for artificial graphene
• Measurement-based infused circuits for variational quantum eigensolvers
• Algorithm-Oriented Qubit Mapping for Variational Quantum Algorithms
• Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
• From Ansätze to Z-gates: a NASA View of Quantum Computing
• Probing phases of quantum matter with an ion-trap tensor-network quantum eigensolver
• Fermionic Simulators for Enhanced Scalability of Variational Quantum Simulation
• Simulating Majorana zero modes on a noisy quantum processor
• Characterization of variational quantum algorithms using free fermions
• Certificates of quantum many-body properties assisted by machine learning
• Classical and quantum machine learning applications in spintronics
• Hybrid Genetic Optimisation for Quantum Feature Map Design
• Emergence of noise-induced barren plateaus in arbitrary layered noise models
• Layering and subpool exploration for adaptive Variational Quantum Eigensolvers: Reducing circuit depth, runtime, and susceptibility to noise
• Logical measurement-based quantum computation in circuit-QED
• Variational quantum algorithm for generalized eigenvalue problems and its application to the finite element method
• Sequential optimal selection of a single-qubit gate and its relation to barren plateau in parameterized quantum circuits
• Accelerating Variational Quantum Algorithms Using Circuit Concurrency
• Quantum algorithms for generator coordinate methods
• Hückel Molecular Orbital Theory on a Quantum Computer: A Scalable System-Agnostic Variational Implementation with Compact Encoding
• Quantum-machine-assisted Drug Discovery
• Parallel Quantum Chemistry on Noisy Intermediate-Scale Quantum Computers
• Many-Qudit representation for the Travelling Salesman Problem Optimisation
• Quantum Computation for Predicting Electron and Phonon Properties of Solids
• Faster variational quantum algorithms with quantum kernel-based surrogate models
• Hybrid Tree Tensor Networks for quantum simulation
• The Basis of Design Tools for Quantum Computing: Arrays, Decision Diagrams, Tensor Networks, and ZX-Calculus
• Quantum Eigenvector Continuation for Chemistry Applications
• Analytical formulation of the second-order derivative of energy for orbital-optimized variational quantum eigensolver: application to polarizability
• Efficient and Robust Parameter Optimization of the Unitary Coupled-Cluster Ansatz
• A simulational model for witnessing quantum effects of gravity using IBM quantum computer
• Extending the reach of quantum computing for materials science with machine learning potentials
• Convex Optimization for Nonequilibrium Steady States on a Hybrid Quantum Processor
• Identification of topological phases using classically-optimized variational quantum eigensolver
• Laziness, Barren Plateau, and Noise in Machine Learning
• Modeling singlet fission on a quantum computer
• Probabilistic Eigensolver with a Trapped-Ion Quantum Processor
• Quadrature Histograms in Maximum Likelihood Quantum State Tomography
• Variational secure cloud quantum computing
• Simulating spectroscopy experiments with a superconducting quantum computer
• QGo: Scalable Quantum Circuit Optimization Using Automated Synthesis
• Enhancing VQE Convergence for Optimization Problems with Problem-specific Parameterized Quantum Circuits
• Energy-dependent barren plateau in bosonic variational quantum circuits
• QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
• Barren plateaus are swamped with traps
• Solving reaction dynamics with quantum computing algorithms
• Random coordinate descent: a simple alternative for optimizing parameterized quantum circuits
• Variational Quantum Support Vector Machine based on $\Gamma$ matrix expansion and Variational Universal-Quantum-State Generator
• Engineering analog quantum chemistry Hamiltonians using cold atoms in optical lattices
• Toward hybrid quantum simulations with qubits and qumodes on trapped-ion platforms
• Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation
• Improving the performance of quantum approximate optimization for preparing non-trivial quantum states without translational symmetry
• Improved iterative quantum algorithm for ground-state preparation
• Quantum Computed Green's Functions using a Cumulant Expansion of the Lanczos Method
• Application of the Diamond Gate in Quantum Fourier Transformations and Quantum Machine Learning
• Mitigating Quantum Errors via Truncated Neumann Series
• Quantifying fermionic nonlinearity of quantum circuits
• Quantum Machine Learning using Gaussian Processes with Performant Quantum Kernels
• Using a Feedback-Based Quantum Algorithm to Analyze the Critical Properties of the ANNNI Model Without Classical Optimization
• Evaluating the Resilience of Variational Quantum Algorithms to Leakage Noise
• Towards Efficient Quantum Computing for Quantum Chemistry: Reducing Circuit Complexity with Transcorrelated and Adaptive Ansatz Techniques
• Workflow for practical quantum chemical calculations with quantum phase estimation algorithm: electronic ground and π-π* excited states of benzene and its derivatives†
• Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns
• Computation of Green's function by local variational quantum compilation
• Variational-quantum-eigensolver-inspired optimization for spin-chain work extraction
• Low-temperature environments for quantum computation and quantum simulation
• Mapping renormalized coupled cluster methods to quantum computers through a compact unitary representation of non-unitary operators
• Noise-robust ground state energy estimates from deep quantum circuits
• Scalable simulation of non-equilibrium quantum dynamics via classically optimised unitary circuits
• Exploring Quantum Average-Case Distances: proofs, properties, and examples
• TFermion: A non-Clifford gate cost assessment library of quantum phase estimation algorithms for quantum chemistry
• What determines the ultimate precision of a quantum computer?
• Quantum Error Mitigation via Quantum-Noise-Effect Circuit Groups
• Empirical Sample Complexity of Neural Network Mixed State Reconstruction
• Gate Operations for Superconducting Qubits and Non-Markovianity
• Protocols for Trainable and Differentiable Quantum Generative Modelling
• Quantum computing for classical problems: Variational Quantum Eigensolver for activated processes
• A Hybrid Quantum-Classical Method for Electron-Phonon Systems
• Complete physical characterization of QND measurements via tomography
• Operational Quantum Average-Case Distances
• Computing Graph Edit Distance with Algorithms on Quantum Devices
• The dilemma of quantum neural networks
• Advancing quantum simulations of nuclear shell model with noise-resilient protocols
• SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture
• Variational quantum computing for quantum simulation: principles, implementations, and challenges
• Many-body entanglement and topology from uncertainties and measurement-induced modes
• GraphStateVis: Interactive Visual Analysis of Qubit Graph States and their Stabilizer Groups
• Generalising quantum imaginary time evolution to solve linear partial differential equations
• Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
• Non-adiabatic Quantum Wavepacket Dynamics Simulation Based on Electronic Structure Calculations using the Variational Quantum Eigensolver
• Designing arbitrary single-axis rotations robust against perpendicular time-dependent noise
• Accelerating quantum imaginary-time evolution with random measurements
• A full circuit-based quantum algorithm for excited-states in quantum chemistry
• Calculation of core-excited and core-ionized states using variational quantum deflation method and applications to photocatalyst modelling
• Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging
• Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means
• Parameterized Two-Qubit Gates for Enhanced Variational Quantum Eigensolver
• Variational generation of spin squeezing on one-dimensional quantum devices with nearest-neighbor interactions
• Hybrid quantum-classical unsupervised data clustering based on the self-organizing feature map
• Implementing Jastrow--Gutzwiller operators on a quantum computer using the cascaded variational quantum eigensolver algorithm
• Divide-and-conquer verification method for noisy intermediate-scale quantum computation
• Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications
• Efficient classical simulation and benchmarking of quantum processes in the Weyl basis
• Classical Pre-optimization Approach for ADAPT-VQE: Maximizing the Potential of High-Performance Computing Resources to Improve Quantum Simulation of Chemical Applications
• Scalable evaluation of quantum-circuit error loss using Clifford sampling
• Optimal Parameter Configurations for Sequential Optimization of Variational Quantum Eigensolver
• A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search
• A quantum procedure for map generation
• Ion native variational ansatz for quantum approximate optimization
• Domain-Specific Compilers for Dynamic Simulations of Quantum Materials on Quantum Computers
• Error estimation in current noisy quantum computers
• Efficient Hamiltonian programming in qubit arrays with nearest-neighbour couplings
• Virtual quantum error detection
• Applications and resource reductions in measurement-based variational quantum eigensolvers
• Experimental quantum natural gradient optimization in photonics
• EQC : Ensembled Quantum Computing for Variational Quantum Algorithms
• Fermionic Adaptive Sampling Theory for Variational Quantum Eigensolvers
• Analyzing the quantum approximate optimization algorithm: ansätze, symmetries, and Lie algebras
• Quantum simulation of fermionic systems using hybrid digital-analog quantum computing approach
• Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Inspired Method
• Precision ground-state energy calculation for the water molecule on a superconducting quantum processor
• Quantum Information reveals that orbital-wise correlation is essentially classical in Natural Orbitals
• Hardware-efficient entangled measurements for variational quantum algorithms
• Photonic counterdiabatic quantum optimization algorithm
• Quantum Next-Generation Reservoir Computing and Its Quantum Optical Implementation
• The quest and hope of Majorana zero modes in topological superconductor for fault-tolerant quantum computing: an introductory overview
• Nondestructive classification of quantum states using an algorithmic quantum computer
• Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications
• QContext: Context-Aware Decomposition for Quantum Gates
• Local, Expressive, Quantum-Number-Preserving VQE Ansatze for Fermionic Systems
• Parameter-Parallel Distributed Variational Quantum Algorithm
• Error-Mitigated Quantum Simulation of Interacting Fermions with Trapped Ions
• A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations
• Quantum self-learning Monte Carlo with quantum Fourier transform sampler
• Simulator Demonstration of Large Scale Variational Quantum Algorithm on HPC Cluster
• A Universal Quantum Circuit Design for Periodical Functions
• Shortcut to Chemically Accurate Quantum Computing via Density-based Basis-set Correction
• Two-dimensional coherent spectrum of high-spin models via a quantum computing approach
• Holographic deep thermalization for secure and efficient quantum random state generation
• Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems
• Practical quantum simulation of small-scale non-Hermitian dynamics
• Demonstrating Quantum Computation for Quasiparticle Band Structures
• Minimizing state preparation times in pulse-level variational molecular simulations
• Fully-programmable universal quantum simulator with a one-dimensional quantum processor
• Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements
• Probing the limits of variational quantum algorithms for nonlinear ground states on real quantum hardware: The effects of noise
• Characterizing conical intersections of nucleobases on quantum computers
• SHARC-VQE: Simplified Hamiltonian Approach with Refinement and Correction enabled Variational Quantum Eigensolver for Molecular Simulation
• Error mitigation, optimization, and extrapolation on a trapped ion testbed
• MISTIQS: An open-source software for performing quantum dynamics simulations on quantum computers
• Realizing a Continuous Set of Two-Qubit Gates Parameterized by an Idle Time
• Quantum algorithms for Schrieffer-Wolff transformation
• Optimization of the Variational Quantum Eigensolver for Quantum Chemistry Applications
• Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods
• Noise reduction using past causal cones in variational quantum algorithms
• Parameterization and optimizability of pulse-level VQEs
• Compressed variational quantum eigensolver for the Fermi-Hubbard model
• Adaptive variational ground state preparation for spin-1 models on qubit-based architectures
• Robust and efficient algorithms for high-dimensional black-box quantum optimization
• Determination of Molecular Energies via Quantum Imaginary Time Evolution in a Superconducting Qubit System
• Direct pulse-level compilation of arbitrary quantum logic gates on superconducting qutrits
• Neural network agent playing spin Hamiltonian games on a quantum computer
• Simulating quantum circuits with arbitrary local noise using Pauli Propagation
• Differentiable quantum computational chemistry with PennyLane
• Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
• Best-approximation error for parametric quantum circuits
• Experimenting quantum phenomena on NISQ computers using high level quantum programming
• A Classically Efficient Quantum Scalable Fermi-Hubbard Benchmark
• Characterizing randomness in parameterized quantum circuits through expressibility and average entanglement
• Simulating thermodynamic properties of dinuclear metal complexes using Variational Quantum Algorithms
• Assisted quantum simulation of open quantum systems
• Efficient measurement schemes for bosonic systems
• Benchmarking hybrid digitized-counterdiabatic quantum optimization
• Quantum gradient evaluation through quantum non-demolition measurements
• Maximising Quantum-Computing Expressive Power through Randomised Circuits
• Random Natural Gradient
• Variational quantum simulation of long-range interacting systems
• Greedy Gradient-free Adaptive Variational Quantum Algorithms on a Noisy Intermediate Scale Quantum Computer
• Simulating 0+1 Dimensional Quantum Gravity on Quantum Computers: Mini-Superspace Quantum Cosmology and the World Line Approach in Quantum Field Theory
• Detecting quasi-degenerate ground states in topological models via variational quantum eigensolver
• Optimal depth and a novel approach to variational quantum process tomography
• Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States
• Optimization strategies in WAHTOR algorithm for quantum computing empirical ansatz: a comparative study
• Quantum computing quantum Monte Carlo algorithm
• Matrix product state ansatz for the variational quantum solution of the Heisenberg model on Kagome geometries
• Experimental Preparation of Topologically Ordered States via Adiabatic Evolution
• Generative Invertible Quantum Neural Networks
• Detecting entanglement of unknown states by violating the Clauser-Horne-Shimony-Holt inequality
• Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
• Universal noise-precision relations in variational quantum algorithms
• Differentiable matrix product states for simulating variational quantum computational chemistry
• Quantum algorithm for calculation of transition amplitudes in hybrid tensor networks
• QuTracer: Mitigating Quantum Gate and Measurement Errors by Tracing Subsets of Qubits
• A Full Quantum Eigensolver for Quantum Chemistry Simulations
• Calculation of Gibbs partition function with imaginary time evolution on near-term quantum computers
• Exploring Ground States of Fermi-Hubbard Model on Honeycomb Lattices with Counterdiabaticity
• Experimental Realization of Quantum Violation of Entropic Noncontextual Inequality in Four Dimension Using IBM Quantum Computer
• Schrödinger as a Quantum Programmer: Estimating Entanglement via Steering
• Using gradient-based algorithms to determine ground state energies on a quantum computer
• Adaptive variational quantum computing approaches for Green's functions and nonlinear susceptibilities
• Toward a standardized methodology for constructing quantum computing use cases
• Symmetric Trotterization in digital quantum simulation of quantum spin dynamics
• Application of quantum scrambling in Rydberg atom on IBM quantum computer
• Noise-specific beats in the higher-level Ramsey curves of a transmon qubit
• Estimating molecular thermal averages with the quantum equation of motion and informationally complete measurements
• Simulating a quasiparticle on a quantum device
• Quantum techniques for eigenvalue problems
• Mitigating Quantum Gate Errors for Variational Eigensolvers Using Hardware-Inspired Zero-Noise Extrapolation
• Accurate harmonic vibrational frequencies for diatomic molecules via quantum computing
• Training iterated protocols for distillation of GHZ states with variational quantum algorithms
• Robust ultra-shallow shadows
• Machine-Learning Insights into the Entanglement-trainability Correlation of Parameterized Quantum Circuits
• Quantum codes from classical graphical models
• Effective field theory of random quantum circuits
• Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
• Shallow quantum circuits for efficient preparation of Slater determinants and correlated states on a quantum computer
• Full Band Structure Calculation of Semiconducting Materials on a Noisy Quantum Processor
• SpinQ Gemini: a desktop quantum computer for education and research
• Variational Quantum Simulation of Valence-Bond Solids
• Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
• Hierarchical Multigrid Ansatz for Variational Quantum Algorithms
• Quantum Extremal Learning
• Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm
• Verification of a resetting protocol for an uncontrolled superconducting qubit
• ArsoNISQ: Analyzing Quantum Algorithms on Near-Term Architectures
• Exploiting subspace constraints and ab initio variational methods for quantum chemistry
• Single entanglement connection architecture between multi-layer bipartite Hardware Efficient Ansatz
• C3-VQA: Cryogenic Counter-based Co-processor for Variational Quantum Algorithms
• Towards quantum simulation of spin systems using continuous variable quantum devices
• Modeling Linear Inequality Constraints in Quadratic Binary Optimization for Variational Quantum Eigensolver
• Volcano Architecture for Scalable Quantum Processor Units
• Experimental Determination of Electronic States via Digitized Shortcut-to-Adiabaticity and Sequential Digitized Adiabaticity
• Quantum Neural Networks: Concepts, Applications, and Challenges
• Quantum Natural Gradient with Geodesic Corrections for Small Shallow Quantum Circuits
• Advantage of discrete variable representation in variational quantum eigensolvers for vibrational energy calculations
• Demonstration of Hardware Efficient Photonic Variational Quantum Algorithm
• Photonic variational quantum eigensolver using entanglement measurements
• Trainable Discrete Feature Embeddings for Variational Quantum Classifier
• Neutron-nucleus dynamics simulations for quantum computers
• Quantum Zeno approach for molecular energies with maximum commuting initialHamiltonians
• Noise-aware variational eigensolvers: a dissipative route for lattice gauge theories
• Deep variational quantum eigensolver for excited states and its application to quantum chemistry calculation of periodic materials
• The Future of Computing: Bits + Neurons + Qubits
• Extending Quantum Computing through Subspace, Embedding and Classical Molecular Dynamics Techniques
• Twisted hybrid algorithms for combinatorial optimization
• Extending C++ for Heterogeneous Quantum-Classical Computing
• Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization
• Cascaded variational quantum eigensolver algorithm
• Calculation of the moscovium ground-state energy by quantum algorithms
• Non-Iterative Disentangled Unitary Coupled-Cluster based on Lie-algebraic structure
• Refining resource estimation for the quantum computation of vibrational molecular spectra through Trotter error analysis
• Practical techniques for high-precision measurements on near-term quantum hardware and applications in molecular energy estimation
• Computing Electronic Correlation Energies using Linear Depth Quantum Circuits
• Optimally Stopped Variational Quantum Algorithms
• Solvent distribution effects on quantum chemical calculations with quantum computers
• Sequential quantum simulation of spin chains with a single circuit QED device
• Local bottom-up effective theory of non-local electronic interactions
• Sequence of penalties method to study excited states using VQE
• Information scrambling and entanglement in quantum approximate optimization algorithm circuits
• Multireference error mitigation for quantum computation of chemistry
• Inverse iteration quantum eigensolvers assisted with a continuous variable
• Quantum supremacy with analog quantum processors for material science and machine learning
• Imaginary Hamiltonian variational ansatz for combinatorial optimization problems
• Hamiltonian-based graph-state ansatz for variational quantum algorithms
• Restricting to the chip architecture maintains the quantum neural network accuracy
• Geometric quantum adiabatic methods for quantum chemistry
• Revisiting the Fermion Sign Problem from the Structure of Lee-Yang Zeros. I. The Form of Partition Function for Indistinguishable Particles and Its Zeros at 0~K
• Large-scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing
• Contextual Quantum Neural Networks for Stock Price Prediction
• Composable Programming of Hybrid Workflows for Quantum Simulation
• A Method of Determining Excited-States for Quantum Computation
• Universal Reconstruction of Complex Magnetic Profiles with Minimum Prior Assumptions
• Parent Hamiltonian as a benchmark problem for variational quantum eigensolvers
• Experimental error mitigation using linear rescaling for variational quantum eigensolving with up to 20 qubits
• Towards solving the BCS Hamiltonian gap in Near-Term Quantum Computers
• Variational post-selection for ground states and thermal states simulation
• A Quantum Circuit Obfuscation Methodology for Security and Privacy
• Quantum variational solving of the Wheeler-DeWitt equation
• Readout Error Mitigation for Mid-Circuit Measurements and Feedforward
• Multidimensional Quantum Generative Modeling by Quantum Hartley Transform
• Quantum nuclear dynamics on a distributed set of ion-trap quantum computing systems
• Expanding variational quantum eigensolvers to larger systems by dividing the calculations between classical and quantum hardware
• Simulating polaritonic ground states on noisy quantum devices
• Optimizing Electronic Structure Simulations on a Trapped-ion Quantum Computer using Problem Decomposition
• Synergic quantum generative machine learning
• Quantum computing hardware in the cloud: Should a computational chemist care?
• Sequency Hierarchy Truncation (SeqHT) for Adiabatic State Preparation and Time Evolution in Quantum Simulations
• Two-dimensional topological effect in a transmon qubit array with tunable couplings
• Compact Multi-Threshold Quantum Information Driven Ansatz For Strongly Interactive Lattice Spin Models
• Tabu-driven Quantum Neighborhood Samplers
• Variational LOCC-assisted quantum circuits for long-range entangled states
• Spontaneous symmetry breaking in a $SO(3)$ non-Abelian lattice gauge theory in $2+1$D with quantum algorithms
• A Variational Quantum Algorithm For Approximating Convex Roofs
• Multipartite Entanglement and Quantum Sensing in a Spin-5/2 Heisenberg Molecular Iron(III) Triangle
• A quantum computing approach to fixed-node Monte Carlo using classical shadows
• Multiqubit state learning with entangling quantum generative adversarial networks
• A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms
• Fourier Analysis of Variational Quantum Circuits for Supervised Learning
• End-to-end switchless architecture for fault-tolerant photonic quantum computing
• Experimental semi-autonomous eigensolver using reinforcement learning
• Optimized numerical gradient and Hessian estimation for variational quantum algorithms
• Sampling Groups of Pauli Operators to Enhance Direct Fidelity Estimation
• Calculating spin correlations with a quantum computer
• Tensor-Programmable Quantum Circuits for Solving Differential Equations
• Noise tailoring for Robust Amplitude Estimation
• Certified Random Number Generation using Quantum Computers
• Efficient parameterised compilation for hybrid quantum programming
• Learning Fourier series with parametrized quantum circuits
• Resource-Efficient Quantum Circuits for Molecular Simulations: A Case Study of Umbrella Inversion in Ammonia
• Quantum-enhanced mean value estimation via adaptive measurement
• Choco-Q: Commute Hamiltonian-based QAOA for Constrained Binary Optimization
• Quantum computation of a quasiparticle band structure with the quantum-selected configuration interaction
• Quantum-classical reinforcement learning for decoding noisy classical parity information
• Engineering non-Markovianity from defect-phonon interactions
• Basis set generation and optimization in the NISQ era with Quiqbox.jl
• Dissecting Quantum Phase Transition in the Transverse Ising Model
• Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks
• Quantum computing of magnetic-skyrmion-like patterns in Heisenberg ferromagnets
• Variational Quantum Imaginary Time Evolution for Matrix Product State Ansatz with Tests on Transcorrelated Hamiltonians
• Reverse quantum annealing assisted by forward annealing
• VQE-generated quantum circuit dataset for machine learning
• Measuring NISQ Gate-Based Qubit Stability Using a 1+1 Field Theory and Cycle Benchmarking
• Software-Hardware Co-Optimization for Computational Chemistry on Superconducting Quantum Processors
• TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture
• Generic eigenstate preparation via measurement-based purification
• Quantum gradient estimation of Gevrey functions
• Random Projection using Random Quantum Circuits
• Digital Quantum Simulations of Spin Models on Hybrid Platform and Near-Term Quantum Processors
• Quantum generative modeling for financial time series with temporal correlations
• Quantum Computing Beyond Ground State Electronic Structure: A Review of Progress Toward Quantum Chemistry Out of the Ground State
• Demonstration of a variational quantum eigensolver with a solid-state spin system under ambient conditions
• Determining the ability for universal quantum computing: Testing controllability via dimensional expressivity
• Solving the Hubbard model using density matrix embedding theory and the variational quantum eigensolver
• Practical Quantum Computing: The value of local computation
• High-Quality Protein Force Fields with Noisy Quantum Processors
• Discontinuous Galerkin discretization for quantum simulation of chemistry
• Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers
• Optimal solutions to quantum annealing using two independent control functions
• Unitary Transformations using Robust Optimal Control on a Cold Atom Qudit
• Multi-set variational quantum dynamics algorithm for simulating nonadiabatic dynamics on quantum computers
• $\mathcal{P}\mathcal{T}$-symmetric mapping of three states and its implementation on a cloud quantum processor
• Accelerating variational quantum algorithms with multiple quantum processors
• Adaptive measurement strategy for quantum subspace methods
• Variational quantum algorithm based on Lagrange polynomial encoding to solve differential equations
• Error Analysis of the Variational Quantum Eigensolver Algorithm
• Normalized Gradient Descent for Variational Quantum Algorithms
• Adiabatic quantum computing with parameterized quantum circuits
• Simulating methylamine using symmetry adapted qubit-excitation-based variational quantum eigensolver
• Modified Conjugate Quantum Natural Gradient
• Adaptive Circuit Learning of Born Machine: Towards Realization of Amplitude Embedding and Quantum Data Loading
• Quantum Simulation of Molecules without Fermionic Encoding of the Wave Function
• The shadows of quantum gravity on Bell's inequality
• Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning
• Modelling for Quantum Error Mitigation
• A recipe for local simulation of strongly-correlated fermionic matter on quantum computers: the 2D Fermi-Hubbard model
• An Efficient Gradient Sensitive Alternate Framework for VQE with Variable Ansatz
• Quantum Approximation for Wireless Scheduling
• Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces
• Practical limitations of quantum data propagation on noisy quantum processors
• Quantum implicit representation of vortex filaments in turbulence
• Quantum many-body simulation of finite-temperature systems with sampling a series expansion of a quantum imaginary-time evolution
• The impacts of optimization algorithm and basis size on the accuracy and efficiency of variational quantum eigensolver
• Exploring entanglement in finite-size quantum systems with degenerate ground state
• Simulating quantum field theories on gate-based quantum computers
• Experimentally validated quantum-secure federated learning over a multi-user quantum network
• Modeling Non-Covalent Interatomic Interactions on a Photonic Quantum Computer
• Crosstalk-Based Parameterized Quantum Circuit Approximation
• Entanglement-informed Construction of Variational Quantum Circuits
• Hot-Start Optimization for Variational Quantum Eigensolver
• qLEET: Visualizing Loss Landscapes, Expressibility, Entangling Power and Training Trajectories for Parameterized Quantum Circuits
• NISQ algorithm for the matrix elements of a generic observable
• Photonic variational quantum eigensolver for NISQ-compatible quantum technology
• Reinforcement learning to learn quantum states for Heisenberg scaling accuracy
• Performance Assessment of Resonantly Driven Silicon Two-Qubit Quantum Gate
• Resource-Efficient Hadamard Test Tailored Variational Framework for Nonlinear Dynamics on Quantum Computers
• Almost optimal measurement scheduling of molecular Hamiltonian via finite projective plane
• Variational quantum compiling for three-qubit gates design in quantum dots
• Detecting and Eliminating Quantum Noise of Quantum Measurements
• Full-counting statistics of particle distribution on a digital quantum computer
• Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
• Context aware quantum simulation of a matrix stored in quantum memory
• Optimal Particle-Conserved Linear Encoding for Practical Fermionic Simulation
• Measuring coherent dynamics of a superconducting qubit in an open waveguide
• Fast-Forwarding with NISQ Processors without Feedback Loop
• Multi-channel convolutional neural quantum embedding
• Entanglement dynamics and performance of two-qubit gates for superconducting qubits under non-Markovian effects
• Evolution of Entanglement Witness of Dicke State under Noise and Error Mitigation
• Generative flow-based warm start of the variational quantum eigensolver
• Active Learning for Quantum Mechanical Measurements
• Screening in the Heitler-London Model: Revisiting the Bonding and Antibonding States of the Hydrogen Molecule
• Adiabatic state preparation from general initial states
• QTIS: A QAOA-Based Quantum Time Interval Scheduler
• Experimental kernel-based quantum machine learning in finite feature space
• Counterdiabatic ADAPT-VQE for molecular simulation
• Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
• Variational-toolbox-based separability detection of multiqubit states
• Approximate Quadratization of High-Order Hamiltonians for Combinatorial Quantum Optimization
• Ensembles of Quantum Classifiers
• Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems
• Improved Strategies for Fermionic Quantum Simulation with Global Interactions
• State preparation and evolution in quantum computing: a perspective from Hamiltonian moments
• Parallelized Givens Ansatz for Molecular ground-states: Bridging Accuracy and Efficiency on NISQ Platforms
• Quantum algorithms for optimal effective theory of many-body systems
• Qubit Readout Error Mitigation with Bit-flip Averaging
• Qubit recycling and the path counting problem
• Machine learning logical gates for quantum error correction
• Probabilistic imaginary-time evolution in state-vector-based and shot-based simulations and on quantum devices
• Jahn-Teller Effect for Controlling Quantum Correlations in Hexanuclear Fe${}^{3+}$ Magnets
• Granular Aluminum kinetic inductance nonlinearity
• Blockwise Optimization for Projective Variational Quantum Dynamics (BLOP-VQD): Algorithm and Implementation for Lattice Systems
• Orbital Expansion Variational Quantum Eigensolver: Enabling Efficient Simulation of Molecules with Shallow Quantum Circuit
• Describing Trotterized Time Evolutions on Noisy Quantum Computers via Static Effective Lindbladians
• Quantum Simulations of Chemical Reactions: Achieving Accuracy with NISQ Devices
• Arbitrary Ground State Observables from Quantum Computed Moments
• Hyperfine Coupling Constants on Quantum Computers: Performance, Errors, and Future Prospects
• Correcting and extending Trotterized quantum many-body dynamics
• High-fidelity initialization a logical qubit with multiple injections
• Reducing the sampling complexity of energy estimation in quantum many-body systems using empirical variance information
• Qubit coupled cluster singles and doubles variational quantum eigensolver ansatz for electronic structure calculations
• Best-practice aspects of quantum-computer calculations: A case study of hydrogen molecule
• Exploiting many-body localization for scalable variational quantum simulation
• A general approach to quantum integration of cross sections in high-energy physics
• Quantum natural gradient with thermal-state initialization
• Efficient Online Quantum Circuit Learning with No Upfront Training
• Efficient Estimation and Sequential Optimization of Cost Functions in Variational Quantum Algorithms
• An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States
• Quantum circuit and mapping algorithms for wavepacket dynamics: case study of anharmonic hydrogen bonds in protonated and hydroxide water clusters
• Finding eigenvectors with a quantum variational algorithm
• Block Lanczos method for excited states on a quantum computer
• ORQVIZ: Visualizing High-Dimensional Landscapes in Variational Quantum Algorithms
• Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation
• Hybrid Quantum-Classical Eigensolver Without Variation or Parametric Gates
• Utilizing Quantum Processor for the Analysis of Strongly Correlated Materials
• Spin-Boson Model to Demonstrate Quantum Tunneling in Biomolecules using IBM Quantum Computer
• Making the cut: two methods for breaking down a quantum algorithm
• A quantum machine learning classifier to search for new physics
• Quantum-data-driven dynamical transition in quantum learning
• Few-body precursors of topological frustration
• Efficient Large-Scale Quantum Optimization via Counterdiabatic Ansatz
• Unsupervised detection of decoupled subspaces: many-body scars and beyond
• Dynamical transition in controllable quantum neural networks with large depth
• OnionVQE Optimization Strategy for Ground State Preparation on NISQ Devices
• Batched Line Search Strategy for Navigating through Barren Plateaus in Quantum Circuit Training
• Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
• Coarse-grained dynamics in quantum many-body systems using the maximum entropy principle
• A quantum approach for optimal control
• Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training
• Encoding strongly-correlated many-boson wavefunctions on a photonic quantum computer: application to the attractive Bose-Hubbard model
• Optimal Fermionic Joint Measurements for Estimating Non-Commuting Majorana Observables
• Matrix-Completion Quantum State Tomography
• Freedom of mixer rotation-axis improves performance in the quantum approximate optimization algorithm
• Error Mitigation in Quantum Computers through Instruction Scheduling
• Compressed sensing enhanced by quantum approximate optimization algorithm
• Qubits on programmable geometries with a trapped-ion quantum processor
• Variational simulation of higher-spin systems on qubit-based quantum simulators
• Witnessing Objectivity on a Quantum Computer
• The Dual Role of Low-Weight Pauli Propagation: A Flawed Simulator but a Powerful Initializer for Variational Quantum Algorithms
• Excited state calculations using variational quantum eigensolver with spin-restricted ansätze and automatically-adjusted constraints
• Mitigating the measurement overhead of ADAPT-VQE with optimised informationally complete generalised measurements
• Toward Density Functional Theory on Quantum Computers?
• Data-driven Quantum Dynamical Embedding Method for Long-term Prediction on Near-term Quantum Computers
• Robust Error Accumulation Suppression for Quantum Circuits
• Shot-Efficient ADAPT-VQE via Reused Pauli Measurements and Variance-Based Shot Allocation
• Markovian heat engine boosted by quantum coherence
• Performance Guarantees for Quantum Neural Estimation of Entropies
• Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms
• Optimizing Unitary Coupled Cluster Wave Functions on Quantum Hardware: Error Bound and Resource-Efficient Optimizer
• Power and limitations of distributed quantum state purification
• Calculation of $\pi$ on the IBM quantum computer and the accuracy of one-qubit operations
• A variational quantum eigensolver tailored to multi-band tight-binding simulations of electronic structures
• One-to-one correspondence between thermal structure factors and coupling constants of general bilinear Hamiltonians
• Evaluating Ground State Energies of Chemical Systems with Low-Depth Quantum Circuits and High Accuracy
• A Quantum Variational Approach to Prototypical Recurrent Unit
• Qubit encodings for lattices of dipolar planar rotors
• Bethe ansatz on a quantum computer?
• Error Mitigation in Dynamic Circuits for Hamiltonian Simulation
• Active Sampling Sample-based Quantum Diagonalization from Finite-Shot Measurements
• The Virtual Quantum Device (VQD): A tool for detailed emulation of quantum computers
• Double-bracket quantum algorithms for high-fidelity ground state preparation
• Orthogonal frequency-division multiplexing for simultaneous gate operations on multiple qubits via a shared control line
• Data-Efficient Quantum Noise Modeling via Machine Learning
• Hamiltonian-reconstruction distance as a success metric for the Variational Quantum Eigensolver
• Matrix Product State on a Quantum Computer
• Topological and geometric patterns in optimal bang-bang protocols for variational quantum algorithms: application to the $XXZ$ model on the square lattice
• A penalty-free quantum algorithm to find energy eigenstates
• Quantum Chaos and Universal Trotterisation Behaviours in Digital Quantum Simulations
• Quantum Coin Method for Numerical Integration
• Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits
• Improving the trainability of VQE on NISQ computers for solving portfolio optimization using convex interpolation
• Universal Euler-Cartan Circuits for Quantum Field Theories
• Slice-Wise Initial State Optimization to Improve Cost and Accuracy of the VQE on Lattice Models
• Identification of quantum generative circuits with parallel quantum neural network
• Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization
• Resource-efficient encoding algorithm for variational bosonic quantum simulations
• Casimir energy with chiral fermions on a quantum computer
• Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection
• Validation of an analyzability model for quantum software: a family of experiments
• Extended parameter shift rules with minimal derivative variance for parameterized quantum circuits
• Quantum Computing Demonstration of the Polaron-Molecule Transition on a NISQ Device
• Analog Quantum Approximate Optimization Algorithm
• Towards Compact Wavefunctions from Quantum-Selected Configuration Interaction
• Inference of maximum parsimony phylogenetic trees with model-based classical and quantum methods
• Quantum process tomography of adiabatic and superadiabatic stimulated Raman passage
• Exploiting biased noise in variational quantum models
• Efficient implementation of single particle Hamiltonians in exponentially reduced qubit space
• Quantum circuit evolutionary framework applied on set partitioning problem
• Noisy Monitored Quantum Circuits
• Exploring Airline Gate-Scheduling Optimization Using Quantum Computers
• Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
• Variational quantum simulation of the quantum critical regime
• Quantum generative classification with mixed states
• Numerical investigation of the quantum inverse algorithm on small molecules
• Interpolation-based coordinate descent method for parameterized quantum circuits
• A Useful Metric for the NISQ Era: Qubit Error Probability and Its Role in Zero Noise Extrapolation
• Introductory Tutorial for SPSA and the Quantum Approximation Optimization Algorithm
• Near-Term Fermionic Simulation with Subspace Noise Tailored Quantum Error Mitigation
• Quantum Computing for Inflationary, Dark Energy and Dark Matter Cosmology
• A quantum wire approach to weighted combinatorial graph optimisation problems
• Quantum Computing Solution of the Bethe-Salpeter Equation for Relativistic Scalar Bound States via Tensor-Network VQE
• Quantum Heaviside Eigen Solver
• Preparing the Gutzwiller wave function for attractive SU(3) fermions on a quantum computer
• Schmidt quantum compressor
• Resource Estimation for VQE on Small Molecules: Impact of Fermion Mappings and Hamiltonian Reductions
• Variational Quantum Algorithm for Solving the Liouvillian Gap
• QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation
• Adaptive Interpolating Quantum Transform: A Quantum-Native Framework for Efficient Transform Learning
• Chemistry beyond the Hartree-Fock limit via quantum computed moments
• Nonlinear path-following via the asymptotic numerical method on a quantum processor
• Circuit Folding: Scalable and Graph-Based Circuit Cutting via Modular Structure Exploitation
• Variational Quantum Generative Modeling by Sampling Expectation Values of Tunable Observables
• Fitness landscape for quantum state tomography from neutron scattering
• Unbiased observable estimation with approximate channels in fault-tolerant quantum computation
• EQNN: Enhanced Quantum Neural Network
• Zero-Noise Extrapolation via Cyclic Permutations of Quantum Circuit Layouts
• Many-Fermion Simulation from the Contracted Quantum Eigensolver without Fermionic Encoding of the Wave Function
• Quantum Model-Discovery
• The Effect of Noise on the Performance of Variational Algorithms for Quantum Chemistry
• Electronic Structure Calculations and the Ising Hamiltonian
• On Assessing the Quantum Advantage for MaxCut Provided by Quantum Neural Network Ansätze
• Velocity Verlet-based optimization for variational quantum eigensolvers
• Nuclear two point correlation functions on a quantum-computer
• Quantum algorithm for one-quasiparticle excitations in the thermodynamic limit via cluster-additive block diagonalization
• Variational Quantum Subspace Construction via Symmetry-Preserving Cost Functions