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