Variational Quantum Algorithms

Abstract

Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high computational cost. Quantum computers promise a solution, although fault-tolerant quantum computers will likely not be available in the near future. Current quantum devices have serious constraints, including limited numbers of qubits and noise processes that limit circuit depth. Variational Quantum Algorithms (VQAs), which use a classical optimizer to train a parametrized quantum circuit, have emerged as a leading strategy to address these constraints. VQAs have now been proposed for essentially all applications that researchers have envisioned for quantum computers, and they appear to the best hope for obtaining quantum advantage. Nevertheless, challenges remain including the trainability, accuracy, and efficiency of VQAs. Here we overview the field of VQAs, discuss strategies to overcome their challenges, and highlight the exciting prospects for using them to obtain quantum advantage.

Review Article. 33 pages, 7 figures. Updated to published version

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• Observation of a non-Hermitian supersonic mode on a trapped-ion quantum computer
• Combinatorial Optimization with Quantum Computers
• A quantum annealing-sequential quadratic programming assisted finite element simulation for non-linear and history-dependent mechanical problems
• Learning fermionic correlations by evolving with random translationally invariant Hamiltonians
• Quantum-machine-learning channel discrimination
• A Parameter Setting Heuristic for the Quantum Alternating Operator Ansatz
• Towards a Quantum Simulation of Nonlinear Sigma Models with a Topological Term
• Quantum computing Floquet energy spectra
• Algorithmic Shadow Spectroscopy
• Mitigated barren plateaus in the time-nonlocal optimization of analog quantum-algorithm protocols
• Spin coupling is all you need: Encoding strong electron correlation in molecules on quantum computers
• Randomized adaptive quantum state preparation
• A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection
• Inferring physical properties of symmetric states from the fewest copies
• Variational quantum iterative power algorithms for global optimization
• General quantum correlation from nonreal values of Kirkwood-Dirac quasiprobability over orthonormal product bases
• Boundary Treatment for Variational Quantum Simulations of Partial Differential Equations on Quantum Computers
• A compiler for universal photonic quantum computers
• Quantum Chemistry Calculations using Energy Derivatives on Quantum Computers
• Automatic quantum circuit encoding of a given arbitrary quantum state
• A Benchmarking Study of Quantum Algorithms for Combinatorial Optimization
• Optimizing Quantum Algorithms on Bipotent Architectures
• Solving The Vehicle Routing Problem via Quantum Support Vector Machines
• Analyzing variational quantum landscapes with information content
• Binary Control Pulse Optimization for Quantum Systems
• Optimizing Variational Quantum Algorithms with qBang: Efficiently Interweaving Metric and Momentum to Navigate Flat Energy Landscapes
• Quantum computing through the lens of control: A tutorial introduction
• Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
• Nonstabilizerness dynamics in many-body localized systems
• Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
• Constrained and Vanishing Expressivity of Quantum Fourier Models
• Opportunities and challenges of quantum computing for climate modelling
• Demonstration of a bosonic quantum classifier with data re-uploading
• Dissipative variational quantum algorithms for Gibbs state preparation
• When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
• Partitioning Quantum Chemistry Simulations with Clifford Circuits
• Symmetry-informed transferability of optimal parameters in the Quantum Approximate Optimization Algorithm
• Hybrid quantum learning with data re-uploading on a small-scale superconducting quantum simulator
• The battle of clean and dirty qubits in the era of partial error correction
• Resource analysis of quantum algorithms for coarse-grained protein folding models
• Convergence of Digitized-Counterdiabatic QAOA: circuit depth versus free parameters
• Beyond MP2 initialization for unitary coupled cluster quantum circuits
• Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
• Expressivity of Variational Quantum Machine Learning on the Boolean Cube
• Estimating the randomness of quantum circuit ensembles up to 50 qubits
• Sampling Error Analysis in Quantum Krylov Subspace Diagonalization
• Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization
• A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
• Experimental demonstration of a high-fidelity virtual two-qubit gate
• Robustness of Variational Quantum Algorithms against stochastic parameter perturbation
• Unitary Coupled Cluster: Seizing the Quantum Moment
• Accumulative reservoir construction: Bridging continuously relaxed and periodically refreshed extended reservoirs
• QAOA-MC: Markov chain Monte Carlo enhanced by Quantum Alternating Operator Ansatz
• Entanglement-induced provable and robust quantum learning advantages
• Coarse grained intermolecular interactions on quantum processors
• Kernel-based quantum regressor models learn non-Markovianity
• Can shallow quantum circuits scramble local noise into global white noise?
• Quantum variational learning for entanglement witnessing
• Measurement-induced entanglement phase transitions in variational quantum circuits
• Adaptive projected variational quantum dynamics
• Measurement-based infused circuits for variational quantum eigensolvers
• Quantum Fourier Iterative Amplitude Estimation
• Avoiding Barren Plateaus with Entanglement
• A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor
• Quantum Lazy Training
• Algorithm-Oriented Qubit Mapping for Variational Quantum Algorithms
• Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
• Distributed Quantum Computing: Applications and Challenges
• Leveraging Analog Quantum Computing with Neutral Atoms for Solvent Configuration Prediction in Drug Discovery
• Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints
• Towards chemical accuracy with shallow quantum circuits: A Clifford-based Hamiltonian engineering approach
• Quantum Information Driven Ansatz (QIDA): shallow-depth empirical quantum circuits from Quantum Chemistry
• Resource estimations for the Hamiltonian simulation in correlated electron materials
• Low-depth Clifford circuits approximately solve MaxCut
• Quantum support vector data description for anomaly detection
• Explainable Representation Learning of Small Quantum States
• Parameterized quantum circuits as universal generative models for continuous multivariate distributions
• Fermionic Simulators for Enhanced Scalability of Variational Quantum Simulation
• Jet Discrimination with Quantum Complete Graph Neural Network
• Quantum Algorithms for Testing Hamiltonian Symmetry
• Noise-induced shallow circuits and absence of barren plateaus
• Laziness, Barren Plateau, and Noise in Machine Learning
• Convex Optimization for Nonequilibrium Steady States on a Hybrid Quantum Processor
• Photonic quantum metrology with variational quantum optical non-linearities
• Bayesian Learning of Parameterised Quantum Circuits
• Quantum DeepONet: Neural operators accelerated by quantum computing
• Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
• Emergence of noise-induced barren plateaus in arbitrary layered noise models
• Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
• Near-term Efficient Quantum Algorithms for Entanglement Analysis
• Unified multivariate trace estimation and quantum error mitigation
• Information recoverability of noisy quantum states
• Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
• Stochastic approach for quantum metrology with generic Hamiltonians
• Variational quantum algorithm for generalized eigenvalue problems and its application to the finite element method
• Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
• Analog quantum variational embedding classifier
• Programmable adiabatic demagnetization for systems with trivial and topological excitations
• Fast-forwarding quantum simulation with real-time quantum Krylov subspace algorithms
• Identification of topological phases using classically-optimized variational quantum eigensolver
• Simulating Majorana zero modes on a noisy quantum processor
• Calculating the many-body density of states on a digital quantum computer
• Quantum subspace expansion in the presence of hardware noise
• Extending the reach of quantum computing for materials science with machine learning potentials
• F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
• Efficient and Robust Parameter Optimization of the Unitary Coupled-Cluster Ansatz
• Hückel Molecular Orbital Theory on a Quantum Computer: A Scalable System-Agnostic Variational Implementation with Compact Encoding
• Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks
• Markovian Noise Modelling and Parameter Extraction Framework for Quantum Devices
• Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm
• Characterization of variational quantum algorithms using free fermions
• Inferring Quantum Network Topology using Local Measurements
• NISQ-compatible approximate quantum algorithm for unconstrained and constrained discrete optimization
• Quantum algorithms for generator coordinate methods
• Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach
• A Photonic Parameter-shift Rule: Enabling Gradient Computation for Photonic Quantum Computers
• Faster variational quantum algorithms with quantum kernel-based surrogate models
• Sequential optimal selection of a single-qubit gate and its relation to barren plateau in parameterized quantum circuits
• Energy-dependent barren plateau in bosonic variational quantum circuits
• Variational approach to photonic quantum circuits via the parameter shift rule
• Qudit Machine Learning
• Symmetry-invariant quantum machine learning force fields
• Random coordinate descent: a simple alternative for optimizing parameterized quantum circuits
• Protocols for Trainable and Differentiable Quantum Generative Modelling
• Simulation of Quantum Computers: Review and Acceleration Opportunities
• Virtual distillation with noise dilution
• Barren plateaus are swamped with traps
• Subsystem Information Capacity in Random Circuits and Hamiltonian Dynamics
• Synergistic Dynamical Decoupling and Circuit Design for Enhanced Algorithm Performance on Near-Term Quantum Devices
• Exploring Quantum Average-Case Distances: proofs, properties, and examples
• Dequantizing the Quantum Singular Value Transformation: Hardness and Applications to Quantum Chemistry and the Quantum PCP Conjecture
• Image Classification with Rotation-Invariant Variational Quantum Circuits
• A Hybrid Quantum-Classical Method for Electron-Phonon Systems
• Efficient Quantum Circuit Compilation for Near-Term Quantum Advantage
• Equivalence of cost concentration and gradient vanishing for quantum circuits: An elementary proof in the Riemannian formulation
• Qsun: an open-source platform towards practical quantum machine learning applications
• Improved iterative quantum algorithm for ground-state preparation
• Variational Quantum Support Vector Machine based on $\Gamma$ matrix expansion and Variational Universal-Quantum-State Generator
• Towards Efficient Quantum Computing for Quantum Chemistry: Reducing Circuit Complexity with Transcorrelated and Adaptive Ansatz Techniques
• Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
• Training Quantum Boltzmann Machines with the $\beta$-Variational Quantum Eigensolver
• Improving the performance of quantum approximate optimization for preparing non-trivial quantum states without translational symmetry
• Variational-quantum-eigensolver-inspired optimization for spin-chain work extraction
• Quantum-walk search in motion
• Variational Quantum Eigensolver Ansatz for the $J_1$-$J_2$-model
• Evaluating the Resilience of Variational Quantum Algorithms to Leakage Noise
• Using a Feedback-Based Quantum Algorithm to Analyze the Critical Properties of the ANNNI Model Without Classical Optimization
• The cross-sectional stock return predictions via quantum neural network and tensor network
• Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting
• Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans
• Optimal Parameter Configurations for Sequential Optimization of Variational Quantum Eigensolver
• Deep Quantum Circuit Simulations of Low-Energy Nuclear States
• Solving Fractional Differential Equations on a Quantum Computer: A Variational Approach
• Efficient Strategies for Reducing Sampling Error in Quantum Krylov Subspace Diagonalization
• Accelerating quantum imaginary-time evolution with random measurements
• Simulating photonic devices with noisy optical elements
• Ansatz-Independent Variational Quantum Classifier
• Classical Pre-optimization Approach for ADAPT-VQE: Maximizing the Potential of High-Performance Computing Resources to Improve Quantum Simulation of Chemical Applications
• Universal imaginary-time critical dynamics on a quantum computer
• A quantum computing concept for 1-D elastic wave simulation with exponential speedup
• Subspace Preserving Quantum Convolutional Neural Network Architectures
• Variational generation of spin squeezing on one-dimensional quantum devices with nearest-neighbor interactions
• Efficient variational quantum circuit structure for correlated topological phases
• Qubit-efficient Variational Quantum Algorithms for Image Segmentation
• Applicability of Measurement-based Quantum Computation towards Physically-driven Variational Quantum Eigensolver
• Variational quantum computing for quantum simulation: principles, implementations, and challenges
• Digital-analog quantum learning on Rydberg atom arrays
• Hybrid quantum-classical unsupervised data clustering based on the self-organizing feature map
• Error estimation in current noisy quantum computers
• Noise-Robust Detection of Quantum Phase Transitions
• Quantum Volume for Photonic Quantum Processors
• Virtual quantum error detection
• Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
• Recursive Quantum Relaxation for Combinatorial Optimization Problems
• A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search
• Faster Born probability estimation via gate merging and frame optimisation
• Implementing Jastrow--Gutzwiller operators on a quantum computer using the cascaded variational quantum eigensolver algorithm
• Optimizing one-axis twists for variational Bayesian quantum metrology
• Partially Unitary Learning
• Photonic quantum generative adversarial networks for classical data
• Parametrized constant-depth quantum neuron
• A full circuit-based quantum algorithm for excited-states in quantum chemistry
• Fast quantum state preparation and bath dynamics using non-Gaussian variational ansatz and quantum optimal control
• Unveiling quantum phase transitions from traps in variational quantum algorithms
• Parameterized Two-Qubit Gates for Enhanced Variational Quantum Eigensolver
• SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture
• A Holistic Approach to Quantum Ethics Education
• Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
• Beyond Quantum Annealing: Optimal control solutions to MaxCut problems
• Quantum Algorithms for Geologic Fracture Networks
• Quantum Channel Learning
• Experimental quantum natural gradient optimization in photonics
• Quantum Computing for Discrete Optimization: A Highlight of Three Technologies
• Quantum reservoir computing on random regular graphs
• Error-Mitigated Quantum Simulation of Interacting Fermions with Trapped Ions
• Simulation of a feedback-based algorithm for quantum optimization for a realistic neutral atom system with an optimized small-angle controlled-phase gate
• Genuine Multipartite Entanglement in Quantum Optimization
• Gradient-descent methods for fast quantum state tomography
• Quantum algorithms for cooling: a simple case study
• Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation
• Double-bracket quantum algorithms for quantum imaginary-time evolution
• Towards Variational Quantum Algorithms for generalized linear and nonlinear transport phenomena
• Analyzing the quantum approximate optimization algorithm: ansätze, symmetries, and Lie algebras
• Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
• State preparation of lattice field theories using quantum optimal control
• Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms
• On Optimizing Hyperparameters for Quantum Neural Networks
• Quantum error cancellation in photonic systems -- undoing photon losses
• Equivariant Variational Quantum Eigensolver to detect Phase Transitions through Energy Level Crossings
• QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems
• Analytical results for the Quantum Alternating Operator Ansatz with Grover Mixer
• Designing fast quantum gates using optimal control with a reinforcement-learning ansatz
• Precision ground-state energy calculation for the water molecule on a superconducting quantum processor
• Gradients and frequency profiles of quantum re-uploading models
• Improving the Performance of Digitized Counterdiabatic Quantum Optimization via Algorithm-Oriented Qubit Mapping
• Photonic counterdiabatic quantum optimization algorithm
• Measuring Trotter error and its application to precision-guaranteed Hamiltonian simulations
• Approaching Collateral Optimization for NISQ and Quantum-Inspired Computing
• Quantum Architecture Search for Quantum Monte Carlo Integration via Conditional Parameterized Circuits with Application to Finance
• A Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
• A generalization of Bernstein-Vazirani algorithm with multiple secret keys and a probabilistic oracle
• Reduce&chop: Shallow circuits for deeper problems
• Quantum Power Flows: From Theory to Practice
• Practical quantum simulation of small-scale non-Hermitian dynamics
• Parametrized quantum circuit for weight-adjustable quantum loop gas
• Parameter-Parallel Distributed Variational Quantum Algorithm
• Information flow in parameterized quantum circuits
• Amplitude Amplification for Optimization via Subdivided Phase Oracle
• Swap Test with Quantum-Dot Charge Qubits
• Calculating the Green's function of two-site Fermionic Hubbard model in a photonic system
• A Study on Quantum Graph Neural Networks Applied to Molecular Physics
• Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements
• Energy Landscape Structure of Small Graph Isomorphism Under Variational Optimization
• Quantum algorithm for the Vlasov simulation of the large-scale structure formation with massive neutrinos
• Bounds on the ground state energy of quantum $p$-spin Hamiltonians
• Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications
• Quantum computing for genomics: conceptual challenges and practical perspectives
• A Quantum Annealing Protocol to Solve the Nuclear Shell Model
• Assisted quantum simulation of open quantum systems
• MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA
• Time-Optimal Quantum Driving by Variational Circuit Learning
• Parameterization and optimizability of pulse-level VQEs
• Quantum Kernel Evaluation via Hong-Ou-Mandel Interference
• Characterizing randomness in parameterized quantum circuits through expressibility and average entanglement
• Efficient and quantum-adaptive machine learning with fermion neural networks
• FragPT2: Multi-Fragment Wavefunction Embedding with Perturbative Interactions
• Adaptive variational ground state preparation for spin-1 models on qubit-based architectures
• Learning the expressibility of quantum circuit ansatz using transformer
• Random Natural Gradient
• Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation
• Variational quantum simulation of long-range interacting systems
• Mimicking quantum correlation of a long-range Hamiltonian by finite-range interactions
• Running the Dual-PQC GAN on noisy simulators and real quantum hardware
• SHARC-VQE: Simplified Hamiltonian Approach with Refinement and Correction enabled Variational Quantum Eigensolver for Molecular Simulation
• Quantum Simulation of non-Abelian Lattice Gauge Theories: a variational approach to ${\mathbb{D}}_8$
• Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
• Quantum Dynamics Simulation of the Advection-Diffusion Equation
• Maximising Quantum-Computing Expressive Power through Randomised Circuits
• Benchmarking hybrid digitized-counterdiabatic quantum optimization
• Red-QAOA: Efficient Variational Optimization through Circuit Reduction
• Quantum algorithms for Schrieffer-Wolff transformation
• Quantum Gate Sets for Lattice QCD in the strong coupling limit: $N_f=1$
• Framework for Learning and Control in the Classical and Quantum Domains
• Mixed-Integer Programming Using a Bosonic Quantum Computer
• Navigating the noise-depth tradeoff in adiabatic quantum circuits
• Sparse Probabilistic Synthesis of Quantum Operations
• Reconstructing Thermal Quantum Quench Dynamics from Pure States
• Variational measurement-based quantum computation for generative modeling
• Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions
• Diagrammatic Analysis for Parameterized Quantum Circuits
• Fast elementary gates for universal quantum computation with Kerr parametric oscillator qubits
• Probing the limits of variational quantum algorithms for nonlinear ground states on real quantum hardware: The effects of noise
• Compilation of Entangling Gates for High-Dimensional Quantum Systems
• Quantum topology optimization of ground structures using noisy intermediate-scale quantum devices
• Simulating thermodynamic properties of dinuclear metal complexes using Variational Quantum Algorithms
• Simulating quantum circuits with arbitrary local noise using Pauli Propagation
• Segmented Composite Design of Robust Single-Qubit Quantum Gates
• Bang-bang algorithms for quantum many-body ground states: a tensor network exploration
• Quantum gradient evaluation through quantum non-demolition measurements
• A model of interacting quantum neurons with a dynamic synapse
• QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization
• A variational quantum algorithm for tackling multi-dimensional Poisson equations with inhomogeneous boundary conditions
• Quantum algorithm for calculation of transition amplitudes in hybrid tensor networks
• Energy Landscape Plummeting in Variational Quantum Eigensolver: Subspace Optimization, Non-iterative Corrections and Generator-informed Initialization for Improved Quantum Efficiency
• Hermitian-preserving ansatz and variational open quantum eigensolver
• Schrödinger as a Quantum Programmer: Estimating Entanglement via Steering
• Exploring the topological sector optimization on quantum computers
• Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
• Quantum delegated and federated learning via quantum homomorphic encryption
• Machine-Learning Insights into the Entanglement-trainability Correlation of Parameterized Quantum Circuits
• Virtual mitigation of coherent non-adiabatic transitions by echo verification
• Classically Replaceable Operations
• Improved resource-tunable near-term quantum algorithms for transition probabilities, with applications in physics and variational quantum linear algebra
• All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks
• Variational quantum eigensolver with embedded entanglement using a tensor-network ansatz
• On the Baltimore Light RailLink into the quantum future
• Scalability Challenges in Variational Quantum Optimization under Stochastic Noise
• Learning quantum phases via single-qubit disentanglement
• Limitations of variational quantum algorithms: a quantum optimal transport approach
• Quantum computing quantum Monte Carlo algorithm
• Training iterated protocols for distillation of GHZ states with variational quantum algorithms
• Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms
• Exploring Ground States of Fermi-Hubbard Model on Honeycomb Lattices with Counterdiabaticity
• Classification and reconstruction for single-pixel imaging with classical and quantum neural networks
• Quantum techniques for eigenvalue problems
• Connection between single-layer Quantum Approximate Optimization Algorithm interferometry and thermal distributions sampling
• Quantum computing for data science
• Efficient quantum-enhanced classical simulation for patches of quantum landscapes
• Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States
• Resource-efficient utilization of quantum computers
• Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
• An example of use of Variational Methods in Quantum Machine Learning
• QSlack: A slack-variable approach for variational quantum semi-definite programming
• Machine learning of quantum channels on NISQ devices
• Optimal-order Trotter-Suzuki decomposition for quantum simulation on noisy quantum computers
• Correlated states in super-moiré materials with a kernel polynomial quantics tensor cross interpolation algorithm
• Accurate harmonic vibrational frequencies for diatomic molecules via quantum computing
• Characterization of overparametrization in the simulation of realistic quantum systems
• Error-mitigated photonic quantum circuit Born machine
• Reusability Report: Comparing gradient descent and monte carlo tree search optimization of quantum annealing schedules
• Kernel-Function Based Quantum Algorithms for Finite Temperature Quantum Simulation
• Iteration Complexity of Variational Quantum Algorithms
• Generation of Pseudo-Random Quantum States on Actual Quantum Processors
• Differentiable matrix product states for simulating variational quantum computational chemistry
• Sequence of penalties method to study excited states using VQE
• Exploiting subspace constraints and ab initio variational methods for quantum chemistry
• From Heisenberg to Hubbard: An initial state for the shallow quantum simulation of correlated electrons
• Quantum Natural Gradient with Geodesic Corrections for Small Shallow Quantum Circuits
• QuForge: A Library for Qudits Simulation
• Deep Circuit Compression for Quantum Dynamics via Tensor Networks
• Quantum machine learning for multiclass classification beyond kernel methods
• The 7 faces of quantum NP
• Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems
• Computational Characteristics of Random Field Ising Model with Long-Range Interaction
• Backpropagation scaling in parameterised quantum circuits
• Enhancing Variational Quantum Circuit Training: An Improved Neural Network Approach for Barren Plateau Mitigation
• Improving the efficiency of learning-based error mitigation
• Going Beyond Gadgets: The Importance of Scalability for Analogue Quantum Simulators
• Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
• Refining resource estimation for the quantum computation of vibrational molecular spectra through Trotter error analysis
• Channel Attention for Quantum Convolutional Neural Networks
• Cascaded variational quantum eigensolver algorithm
• Exploring thermal equilibria of the Fermi-Hubbard model with variational quantum algorithms
• Pitfalls of the sublinear QAOA-based factorization algorithm
• Hierarchical Multigrid Ansatz for Variational Quantum Algorithms
• Hamiltonian-based graph-state ansatz for variational quantum algorithms
• Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm
• Geodesic Algorithm for Unitary Gate Design with Time-Independent Hamiltonians
• Supervised Learning Guarantee for Quantum AdaBoost
• Neutron-nucleus dynamics simulations for quantum computers
• Efficient quantum algorithms for testing symmetries of open quantum systems
• Low-Rank Variational Quantum Algorithm for the Dynamics of Open Quantum Systems
• Efficient Quantum Cooling Algorithm for Fermionic Systems
• Partitioned Quantum Subspace Expansion
• Calibrating quantum gates up to 52 qubits in a superconducting processor
• Volcano Architecture for Scalable Quantum Processor Units
• Using quantum computers in control: interval matrix properties
• Variational Quantum Crank-Nicolson and Method of Lines for the Solution of Initial Value Problems
• Single entanglement connection architecture between multi-layer bipartite Hardware Efficient Ansatz
• Quantum mean value approximator for hard integer value problems
• Encoding-dependent generalization bounds for parametrized quantum circuits
• Quantum optical classifier with superexponential speedup
• Large-scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing
• Entanglement Detection with Quantum-inspired Kernels and SVMs
• Photonic variational quantum eigensolver using entanglement measurements
• Restricting to the chip architecture maintains the quantum neural network accuracy
• Quantum Circuit Distillation and Compression
• Classical shadows meet quantum optimal mass transport
• Quantum error mitigation for rotation symmetric bosonic codes with symmetry expansion
• Metropolis-style random sampling of quantum gates for the estimation of low-energy observables
• Measurement-Based Control for Minimizing Energy Functions in Quantum Systems
• Tridiagonal matrix decomposition for Hamiltonian simulation on a quantum computer
• Parallel-in-time quantum simulation via Page and Wootters quantum time
• Experimental benchmarking of quantum state overlap estimation strategies with photonic systems
• Warm Start Adaptive-Bias Quantum Approximate Optimization Algorithm
• Variational Quantum Simulation of Valence-Bond Solids
• Computing Electronic Correlation Energies using Linear Depth Quantum Circuits
• Pulse family optimization for parametrized quantum gates using spectral clustering
• Quantum Annealing based Power Grid Partitioning for Parallel Simulation
• Non-Iterative Disentangled Unitary Coupled-Cluster based on Lie-algebraic structure
• Demonstration of Hardware Efficient Photonic Variational Quantum Algorithm
• Calculation of the moscovium ground-state energy by quantum algorithms
• Estimation of Quantum Fisher Information via Stein's Identity in Variational Quantum Algorithms
• Entangled states from sparsely coupled spins for metrology with neutral atoms
• Compact Multi-Threshold Quantum Information Driven Ansatz For Strongly Interactive Lattice Spin Models
• Optimization via Quantum Preconditioning
• Deep-Circuit QAOA
• Quantum-enhanced mean value estimation via adaptive measurement
• Automated Discovery of Coupled Mode Setups
• Parent Hamiltonian as a benchmark problem for variational quantum eigensolvers
• Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
• Perturbative gadgets for gate-based quantum computing: Non-recursive constructions without subspace restrictions
• Universal compiling and (No-)Free-Lunch theorems for continuous variable quantum learning
• Variational Microcanonical Estimator
• Ising Hamiltonians for Constrained Combinatorial Optimization Problems and the Metropolis-Hastings Warm-Starting Algorithm
• Accelerating Feedback-Based Quantum Algorithms through Time Rescaling
• Quantum Feasibility Labeling for NP-complete Vertex Coloring Problem
• Utility of NISQ devices: optimizing experimental parameters for the fabrication of Au atomic junction using gate-based quantum computers
• Multidimensional Quantum Generative Modeling by Quantum Hartley Transform
• Minimal evolution times for fast, pulse-based state preparation in silicon spin qubits
• Resource-efficient Generalized Quantum Subspace Expansion
• Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise
• Probing many-body Bell correlation depth with superconducting qubits
• Quantum state tomography with disentanglement algorithm
• Efficient preparation of the AKLT State with Measurement-based Imaginary Time Evolution
• Double-bracket algorithm for quantum signal processing without post-selection
• Variational post-selection for ground states and thermal states simulation
• Learning Fourier series with parametrized quantum circuits
• Separation of measurement uncertainty into quantum and classical parts based on Kirkwood-Dirac quasiprobability and generalized entropy
• Distance-four quantum codes with combined postselection and error correction
• Exponentiation of Parametric Hamiltonians via Unitary interpolation
• Virtual Z gates and symmetric gate compilation
• Trained quantum neural networks are Gaussian processes
• More buck-per-shot: Why learning trumps mitigation in noisy quantum sensing
• Full Characterization of the Depth Overhead for Quantum Circuit Compilation with Arbitrary Qubit Connectivity Constraint
• Variational Quantum Imaginary Time Evolution for Matrix Product State Ansatz with Tests on Transcorrelated Hamiltonians
• An Amplitude-Based Implementation of the Unit Step Function on a Quantum Computer
• A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms
• Quantum eigenstate broadcasting assisted by a coherent link
• Noise tailoring for Robust Amplitude Estimation
• Bang-bang preparation of quantum many-body ground states in two dimensions: optimization of the algorithm with a two-dimensional tensor network
• Dual-VQE: A quantum algorithm to lower bound the ground-state energy
• Leveraging commuting groups for an efficient variational Hamiltonian ansatz
• Switching Time Optimization for Binary Quantum Optimal Control
• Quantum Machine Learning of Molecular Energies with Hybrid Quantum-Neural Wavefunction
• Evaluating the Practicality of Quantum Optimization Algorithms for Prototypical Industrial Applications
• Minimizing the negativity of quantum circuits in overcomplete quasiprobability representations
• Non-linear classification capability of quantum neural networks due to emergent quantum metastability
• Clifford circuit based heuristic optimization of fermion-to-qubit mappings
• Simulation of a Three-Nucleons System Transition on Quantum Circuits
• Optimal compression of constrained quantum time evolution
• Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
• A Monte Carlo Tree Search approach to QAOA: finding a needle in the haystack
• Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model
• Continuous monitoring for noisy intermediate-scale quantum processors
• Variational LOCC-assisted quantum circuits for long-range entangled states
• Limitations of Noisy Quantum Devices in Computational and Entangling Power
• Addition and Differentiation of ZX-diagrams
• Inequality constraints in variational quantum circuits with qudits
• QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation
• Generic eigenstate preparation via measurement-based purification
• Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach
• Out of the Loop: Structural Approximation of Optimisation Landscapes and non-Iterative Quantum Optimisation
• Optimized numerical gradient and Hessian estimation for variational quantum algorithms
• Quantum noise modeling through Reinforcement Learning
• Pitfalls when tackling the exponential concentration of parameterized quantum models
• Hardware-efficient quantum phase estimation via local control
• Cross-platform hardware benchmark of style-based quantum GANs for data augmentation on superconducting and trapped-ion processors
• Variational quantum algorithm for Gaussian discrete solitons and their boson sampling
• Quantum Reservoir Computing for Realized Volatility Forecasting
• Quantum-inspired clustering with light
• QuOp_MPI: a framework for parallel simulation of quantum variational algorithms
• Automatic Structural Search of Tensor Network States including Entanglement Renormalization
• Boson sampling enhanced quantum chemistry
• Basis set generation and optimization in the NISQ era with Quiqbox.jl
• Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics
• Introduction to Quantum Error Correction with Stabilizer Codes
• Crosstalk-Based Parameterized Quantum Circuit Approximation
• Determining the ability for universal quantum computing: Testing controllability via dimensional expressivity
• Full-counting statistics of particle distribution on a digital quantum computer
• Quantum tensor network algorithms for evaluation of spectral functions on quantum computers
• Density matrix representation of hybrid tensor networks for noisy quantum devices
• Quantum Approximation Optimization Algorithm for the Trellis based Viterbi Decoding of Classical Error Correcting Codes
• Comparing Quantum Service Offerings
• Q-Profile: Profiling Tool for Quantum Control Stacks applied to the Quantum Approximate Optimization Algorithm
• Determining probability density functions with adiabatic quantum computing
• Adaptive measurement strategy for quantum subspace methods
• Adaptively partitioned analog quantum simulation on near-term quantum computers: The nonclassical free-induction decay of NV centers in diamond
• An Energy Estimation Benchmark for Quantum Computers
• Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor
• Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
• Quadratic speed-ups in quantum kernelized binary classification
• Demonstration of quantum projective simulation on a single-photon-based quantum computer
• Comprehensive Library of Variational LSE Solvers
• Barren plateaus are amplified by the dimension of qudits
• Cost of Locally Approximating High-Dimensional Ground States of Contextual Quantum Models
• Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
• Quantum Software Ecosystem Design
• Model-Driven Engineering for Quantum Programming: A Case Study on Ground State Energy Calculation
• Quantum Active Learning
• Performance and scaling analysis of variational quantum simulation
• Multi-target quantum compilation algorithm
• Atom Cavity Encoding for NP-Complete Problems
• Variational quantum algorithm based on Lagrange polynomial encoding to solve differential equations
• Variational quantum cloning machine on an integrated photonic interferometer
• Quantum Curriculum Learning
• Tomography of parametrized quantum states
• A recipe for local simulation of strongly-correlated fermionic matter on quantum computers: the 2D Fermi-Hubbard model
• Quantum Approximation of Normalized Schatten Norms and Applications to Learning
• On the Effects of Small Graph Perturbations in the MaxCut Problem by QAOA
• Adiabatic quantum computing with parameterized quantum circuits
• Quantum many-body simulation of finite-temperature systems with sampling a series expansion of a quantum imaginary-time evolution
• Learning Density Functionals from Noisy Quantum Data
• Hardness-dependent quantum adiabatic schedules for the maximum-independent-set problem
• Quantum Computational Insurance and Actuarial Science
• Stabilizer configuration interaction: Finding molecular subspaces with error detection properties
• Agnostic Process Tomography
• Nearly query-optimal classical shadow estimation of unitary channels
• Expressibility, entangling power and quantum average causal effect for causally indefinite circuits
• A Universal Quantum Computer From Relativistic Motion
• Expressivity of deterministic quantum computation with one qubit
• Exact Quantum Algorithm for Unit Commitment Optimization based on Partially Connected Quantum Neural Networks
• Effective temperature in approximate quantum many-body states
• Grover's search meets Ising models: a quantum algorithm for finding low-energy states
• 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
• Evolved Quantum Boltzmann Machines
• Experimentally validated quantum-secure federated learning over a multi-user quantum network
• Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection
• Entanglement-informed Construction of Variational Quantum Circuits
• Policy Gradients using Variational Quantum Circuits
• Quantum implicit representation of vortex filaments in turbulence
• Quantum multiphase estimation
• Exploring new variational quantum circuit ansatzes for solving $SU(2)$ matrix models
• Space-time tradeoff in networked virtual distillation
• Coupled-cluster pairing models for radicals with strong correlations
• Multi-set variational quantum dynamics algorithm for simulating nonadiabatic dynamics on quantum computers
• State Specific Measurement Protocols for the Variational Quantum Eigensolver
• The Lie Algebra of XY-mixer Topologies and Warm Starting QAOA for Constrained Optimization
• Regularizing quantum loss landscapes by noise injection
• Exponential distillation of dominant eigenproperties
• Variational Inference for Quantum HyperNetworks
• Optimal solutions to quantum annealing using two independent control functions
• Resource-Efficient Hadamard Test Tailored Variational Framework for Nonlinear Dynamics on Quantum Computers
• Tangent Space Excitation Ansatz for Quantum Circuits
• Perspectives on Utilization of Measurements in Quantum Algorithms
• Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
• Toolchain for Faster Iterations in Quantum Software Development
• Stochastic Entanglement Configuration for Constructive Entanglement Topologies in Quantum Machine Learning with Application to Cardiac MRI
• On the Differential Topology of Expressivity of Parameterized Quantum Circuits
• Quantum generative modeling for financial time series with temporal correlations
• Solving the Hubbard model using density matrix embedding theory and the variational quantum eigensolver
• Simulating Quantum Turbulence with Matrix Product States
• Scalable Quantum Computational Science: A Perspective from Block-Encodings and Polynomial Transformations
• Universal Quantum Computer Simulation of 50 Qubits on Europe`s First Exascale Supercomputer Harnessing Its Heterogeneous CPU-GPU Architecture
• Constraint-Aware Quantum Optimization via Hamming Weight Operators
• Photonic variational quantum eigensolver for NISQ-compatible quantum technology
• Demonstration of a variational quantum eigensolver with a solid-state spin system under ambient conditions
• Practical limitations of quantum data propagation on noisy quantum processors
• QHDL: a Low-Level Circuit Description Language for Quantum Computing
• Efficient Online Quantum Circuit Learning with No Upfront Training
• ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks
• Exploring the application of quantum technologies to industrial and real-world use cases
• Variational-toolbox-based separability detection of multiqubit states
• Evaluating the Limits of QAOA Parameter Transfer at High-Rounds on Sparse Ising Models With Geometrically Local Cubic Terms
• Investigation of tantalum films growth for coplanar resonators with internal quality factors above ten million
• Freedom of mixer rotation-axis improves performance in the quantum approximate optimization algorithm
• Artificial intelligence for representing and characterizing quantum systems
• Feasibility of performing quantum chemistry calculations on quantum computers
• On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling
• Performance analysis of a filtering variational quantum algorithm
• Digitized Counter-Diabatic Quantum Optimization for Bin Packing Problem
• Edge of Many-Body Quantum Chaos in Quantum Reservoir Computing
• Multi-channel convolutional neural quantum embedding
• Unsupervised detection of decoupled subspaces: many-body scars and beyond
• Experimental factoring integers using fixed-point-QAOA with a trapped-ion quantum processor
• Robustness of optimized numerical estimation schemes for noisy variational quantum algorithms
• Neural-network-assisted Monte Carlo sampling trained by Quantum Approximate Optimization Algorithm
• Self-attention U-Net decoder for toric codes
• Sub-universal variational circuits for combinatorial optimization problems
• Blockwise Optimization for Projective Variational Quantum Dynamics (BLOP-VQD): Algorithm and Implementation for Lattice Systems
• Binary Quantum Control Optimization with Uncertain Hamiltonians
• Variational quantum algorithms with invariant probabilistic error cancellation on noisy quantum processors
• Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
• Disentangling quantum neural networks for unified estimation of quantum entropies and distance measures
• Guided Graph Compression for Quantum Graph Neural Networks
• Adiabatic state preparation from general initial states
• A variational quantum algorithm for entanglement quantification
• QTIS: A QAOA-Based Quantum Time Interval Scheduler
• Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
• A quantum approach for optimal control
• Quantum natural gradient with thermal-state initialization
• Warm-Start Variational Quantum Policy Iteration
• Lower bounds on the number of rounds of the quantum approximate optimization algorithm required for guaranteed approximation ratios
• Symmetry-based quantum algorithms for open-shop scheduling with hard constraints
• Post-Quantum Security: Origin, Fundamentals, and Adoption
• Hardware-efficient quantum annealing with error mitigation via classical shadow
• Bounding Entanglement Entropy with Clifford Double Cosets
• Quantum Circuit Pruning: Improving Fidelity via Compilation-Aware Circuit Approximation
• Learning quantum symmetries with interactive quantum-classical variational algorithms
• Global optimization in variational quantum algorithms via dynamic tunneling method
• Generative flow-based warm start of the variational quantum eigensolver
• Quantum-enhanced learning with a controllable bosonic variational sensor network
• Rovibrational energy levels of H${}_2$O by quantum computing
• Arbitrary Ground State Observables from Quantum Computed Moments
• Finding eigenvectors with a quantum variational algorithm
• Expressiveness of Commutative Quantum Circuits: A Probabilistic Approach
• Active Learning for Quantum Mechanical Measurements
• Compressed sensing enhanced by quantum approximate optimization algorithm
• Vanishing performance of the parity-encoded quantum approximate optimization algorithm applied to spin-glass models
• Shot-based quantum encoding: a data-loading paradigm for quantum neural networks
• Dissipative ground state preparation in ab initio electronic structure theory
• Scaling of symmetry-restricted quantum circuits
• Parallelized Givens Ansatz for Molecular ground-states: Bridging Accuracy and Efficiency on NISQ Platforms
• Chasing shadows with Gottesman-Kitaev-Preskill codes
• When Quantum and Classical Models Disagree: Learning Beyond Minimum Norm Least Square
• Feedback-Based Quantum Strategies for Constrained Combinatorial Optimization Problems
• A Noise-Aware Scalable Subspace Classical Optimizer for the Quantum Approximate Optimization Algorithm
• Symmetry-enhanced Counterdiabatic Quantum Algorithm for Qudits
• Encoding strongly-correlated many-boson wavefunctions on a photonic quantum computer: application to the attractive Bose-Hubbard model
• Quantum neural network autoencoder and classifier applied to an industrial case study
• Efficient quantum algorithm for weighted partial sums and numerical integration
• Dynamical transition in controllable quantum neural networks with large depth
• Distributing Quantum Computations, Shot-wise
• High-fidelity initialization a logical qubit with multiple injections
• High-Entanglement Capabilities for Variational Quantum Algorithms: The Poisson Equation Case
• Quantum-data-driven dynamical transition in quantum learning
• Short-time simulation of quantum dynamics by Pauli measurements
• Towards Symmetry-Aware Efficient Simulation of Quantum Systems and Beyond
• A coherent approach to quantum-classical optimization
• Lie groups for quantum complexity and barren plateau theory
• HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era
• A Novel Single-Layer Quantum Neural Network for Approximate SRBB-Based Unitary Synthesis
• A Practical Quantum Hoare Logic with Classical Variables, I
• The Dual Role of Low-Weight Pauli Propagation: A Flawed Simulator but a Powerful Initializer for Variational Quantum Algorithms
• Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems
• Notes on Quantum Computing for Thermal Science
• Cheaper and more noise-resilient quantum state preparation using eigenvector continuation
• Resource-efficient quantum algorithm for linear systems of equations
• Sparse Non-Markovian Noise Modeling of Transmon-Based Multi-Qubit Operations
• An Error Mitigated Non-Orthogonal Quantum Eigensolver via Shadow Tomography
• Efficient Estimation and Sequential Optimization of Cost Functions in Variational Quantum Algorithms
• Suppressing decoherence in quantum state transfer with unitary operations
• Efficient Fermi-Hubbard model ground-state preparation by coupling to a classical reservoir in the instantaneous-response limit
• Hamiltonian formulations of centroid-based clustering
• Quick design of feasible tensor networks for constrained combinatorial optimization
• Adaptive Quantum Generative Training using an Unbounded Loss Function
• Double descent in quantum kernel methods
• Variational simulation of higher-spin systems on qubit-based quantum simulators
• Efficient Large-Scale Quantum Optimization via Counterdiabatic Ansatz
• Estimating the degree of non-Markovianity using variational quantum circuits
• Stability of emergent time periodicity in a few-body interacting system
• Quantum Machine Learning with SQUID
• 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
• Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
• Quantum tree generator improves QAOA state-of-the-art for the knapsack problem
• Unitary-transformed projective squeezing: applications for circuit-knitting and state-preparation of non-Gaussian states
• Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation
• Error Mitigation in Dynamic Circuits for Hamiltonian Simulation
• Quantum imaginary time evolution and UD-MIS problem
• How Many Shots Are Enough for a Quantum Circuit?
• A Quantum Variational Approach to Prototypical Recurrent Unit
• Distributed variational quantum computing with deterministic entanglement tuning
• Toward Density Functional Theory on Quantum Computers?
• Verifiable cloud-based variational quantum algorithms
• Variational Quantum Generative Modeling by Sampling Expectation Values of Tunable Observables
• Entropy density benchmarking of near-term quantum circuits
• Towards quantum machine learning for assessing the resilience of post-quantum cryptography
• Using optimal control to guide neural-network interpolation of continuously-parameterized gates
• Quantum community detection via deterministic elimination
• Schmidt quantum compressor
• Variational Quantum Algorithm for Constrained Combinatorial Optimization Problems
• Circuit connectivity boosts by quantum-classical-quantum interfaces
• Velocity Verlet-based optimization for variational quantum eigensolvers
• Accelerating Quantum State Encoding with SIMD: Design, Implementation, and Benchmarking
• Hamiltonian-reconstruction distance as a success metric for the Variational Quantum Eigensolver
• Equivalence between exponential concentration in quantum machine learning kernels and barren plateaus in variational algorithms
• The Rise of Quantum Computing -- Take a BITE for Built Environment and Urban Microclimate Research
• Optical resonators constitute a universal spin simulator
• Quantum-Inspired Multi Agent Reinforcement Learning for Exploration Exploitation Optimization in UAV-Assisted 6G Network Deployment
• Optical Quantum Computing
• Ancillary entangling Floquet kicks for accelerating quantum algorithms
• QAISim: A Toolkit for Modeling and Simulation of AI in Quantum Cloud Computing Environments
• Resilience-Runtime Tradeoff Relations for Quantum Algorithms
• Designing a Machine Learning-Driven, Cross-Hardware Emulator for Noisy Quantum Computers with Gate-Based Protocols
• Variational decision diagrams for quantum-inspired machine learning applications
• Double-bracket quantum algorithms for high-fidelity ground state preparation
• Quantum Encoding of Structured Data with Matrix Product States
• Quantum Machine Learning for Climate Modelling
• Feedback-Based Quantum Algorithm for Constrained Optimization Problems
• Quantum Chebyshev Probabilistic Models for Fragmentation Functions
• Unraveling Rodeo Algorithm Through the Zeeman Model
• A Useful Metric for the NISQ Era: Qubit Error Probability and Its Role in Zero Noise Extrapolation
• Quantifying the Expressive Capacity of Quantum Systems: Fundamental Limits and Eigentasks
• Improving the trainability of VQE on NISQ computers for solving portfolio optimization using convex interpolation
• Counting with the quantum alternating operator ansatz
• New perspectives on quantum kernels through the lens of entangled tensor kernels
• Qubit-efficient quantum combinatorial optimization solver
• A quantum wire approach to weighted combinatorial graph optimisation problems
• Performance evaluation of variational quantum eigensolver and quantum dynamics algorithms on the advection-diffusion equation
• Quantum Computing Solution of the Bethe-Salpeter Equation for Relativistic Scalar Bound States via Tensor-Network VQE
• Hybrid Quantum-Classical Clustering for Preparing a Prior Distribution of Eigenspectrum
• Measuring Incompatible Observables with Quantum Neural Networks
• Qudit-native measurement protocol for dynamical correlations using Hadamard tests
• PHOENIX: Pauli-Based High-Level Optimization Engine for Instruction Execution on NISQ Devices
• Direct entanglement ansatz learning (DEAL) with ZNE on error-prone superconducting qubits
• iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures
• Quantum Alternating Operator Ansatz for the Preparation and Detection of Long-Lived Singlet States in NMR
• Unbiased observable estimation with approximate channels in fault-tolerant quantum computation
• Quantum Algorithms for Causal Estimands
• Resource-Optimized Grouping Shadow for Efficient Energy Estimation
• Challenges and opportunities in the supervised learning of quantum circuit outputs
• TabularQGAN: A quantum generative model for tabular data synthesis
• Many-body thermal states on a quantum computer: a variational approach
• A variational quantum eigensolver tailored to multi-band tight-binding simulations of electronic structures
• Distributed Exact Generalized Grover's Algorithm
• Trainability issues in quantum policy gradients
• Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection
• Accelerated spin-adapted ground state preparation with non-variational quantum algorithms
• Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion
• Matrix-product entanglement characterizing the optimality of state-preparation quantum circuits
• Variational quantum simulation of the quantum critical regime
• Quantum Machine Learning for State Tomography Using Classical Data
• Gradient Scalability and Taylor Surrogation of Quantum Cost Landscapes
• Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms
• Error-mitigated inference of quantum network topology
• QSSA: An SSA-based IR for Quantum Computing
• Data-driven Quantum Dynamical Embedding Method for Long-term Prediction on Near-term Quantum Computers
• Towards a pulse-level intermediate representation for diverse quantum control systems
• Shot-Efficient ADAPT-VQE via Reused Pauli Measurements and Variance-Based Shot Allocation
• Quantum circuit evolutionary framework applied on set partitioning problem
• Extended parameter shift rules with minimal derivative variance for parameterized quantum circuits
• Light Cone Cancellation for Variational Quantum Eigensolver in Solving Noisy Max-Cut
• Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
• Multiclass Portfolio Optimization via Variational Quantum Eigensolver with Dicke State Ansatz
• Imaginary Time Spectral Transforms for Excited State Preparation
• Role of overparametrization in quantum approximate optimization
• Real-time hybrid quantum-classical computations for trapped-ions with Python control-flow
• Superior resilience to poisoning and amenability to unlearning in quantum machine learning
• Decoded Quantum Interferometry Under Noise
• The Quantum Ensemble Variational Optimization Algorithm: Applications to Molecular Inverse Design
• Quantum-Enhanced Neural Exchange-Correlation Functionals
• Power and limitations of distributed quantum state purification
• Quantum reservoir computing for predicting and characterizing chaotic maps
• Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
• Pulse engineering via projection of response functions
• Digital controllability of transverse field Ising chains
• Quantum approximate optimization of finite-state bosonic systems
• Exploiting biased noise in variational quantum models
• Molecular resonance identification in complex absorbing potentials via integrated quantum computing and high-throughput computing
• Quantum speed limit for observables from quantum asymmetry
• From barren plateaus through fertile valleys: Conic extensions of parameterised quantum circuits
• Performance Guarantees for Quantum Neural Estimation of Entropies
• Exploring fixed points and eigenstates of quantum systems with reinforcement learning
• Zero-Noise Extrapolation via Cyclic Permutations of Quantum Circuit Layouts
• Information Processing in Quantum Thermodynamic Systems: an Autonomous Hamiltonian Approach
• Moments of Quantum Channel Ensembles
• Exploring the performance of superposition of product states: from 1D to 3D quantum spin systems
• Noisy Monitored Quantum Circuits
• Applying Grover-mixer quantum alternating operator ansatz algorithm to higher-order unconstrained binary optimization problems
• Variational matrix product states for combinatorial optimization
• Nonadiabatic Self-Healing of Trotter Errors in Digitized Counterdiabatic Dynamics
• Efficient implementation of single particle Hamiltonians in exponentially reduced qubit space
• Topology-Aware Block Coordinate Descent for Qubit Frequency Allocation of Superconducting Quantum Processors
• Quantum Computing Demonstration of the Polaron-Molecule Transition on a NISQ Device
• Practical Quantum Reservoir Computing in Rydberg Atom Arrays
• A Quantum Genetic Algorithm with application to Cosmological Parameters Estimation
• Limits of Clifford Disentangling in Tensor Network States