Quantum Computing in the NISQ era and beyond

2018/01/02 by John Preskill · 8 voices · 971 citations
Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum and electron transport phenomena #cond-mat.str-el #quant-ph

paper · pdf · doi:10.22331/q-2018-08-06-79

published as Quantum 2, 79 (2018) · 20 pages. Based on a Keynote Address at Quantum Computing for Business, 5 December 2017. (v3) Formatted for publication in Quantum, minor revisions

arxiv published 2018/01/02 · arxiv created 2018/07/31 · openalex publication_date 2018/08/06 · arxiv updated 2018/08/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31

Abstract

Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass the capabilities of today's classical digital computers, but noise in quantum gates will limit the size of quantum circuits that can be executed reliably. NISQ devices will be useful tools for exploring many-body quantum physics, and may have other useful applications, but the 100-qubit quantum computer will not change the world right away --- we should regard it as a significant step toward the more powerful quantum technologies of the future. Quantum technologists should continue to strive for more accurate quantum gates and, eventually, fully fault-tolerant quantum computing.

Citations

• Strengths and Weaknesses of Quantum Computing
• Adiabatic Quantum Computation Is Equivalent to Standard Quantum Computation
• Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
• Simulating physics with computers
• Quantum Recommendation Systems
• Quantum Machine Learning
• An efficient quantum algorithm for generative machine learning
• Robust entanglement renormalization on a noisy quantum computer
• Quantum sensing

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• Convolution filter embedded quantum gate autoencoder
• Quantum computing for genomics: conceptual challenges and practical perspectives
• Towards a NISQ Algorithm to Simulate Hermitian Matrix Exponentiation
• Gleipnir: Toward Practical Error Analysis for Quantum Programs (Extended Version)
• A Survey on Integrating Quantum Computers into High Performance Computing Systems
• Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission
• Quantum Adiabatic Theorem Revisited
• Chemistry beyond the Hartree-Fock limit via quantum computed moments
• Quantum Model-Discovery
• STABSim: A Parallelized Clifford Simulator with Features Beyond Direct Simulation
• Three-qubit W state tomography via full and marginal state reconstructions on ibm_osaka
• Quantum Computing in the Computational Landscape of Power Electronics: Vision and Reality
• Robust feedback-based quantum optimization: analysis of coherent control errors
• QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers
• Hayden-Preskill recovery in chaotic and integrable unitary circuit dynamics
• Unlocking Quantum Control and Multi-Order Correlations via Terahertz Two-Dimensional Coherent Spectroscopy
• Circuit compression for 2D quantum dynamics
• Generative flow-based warm start of the variational quantum eigensolver
• Quantum reinforcement learning in dynamic environments
• Quantum Telepathy: A Quantum Technology with Near-Term Applications
• A Fundamental Bound for Robust Quantum Gate Control
• Logarithmic Depth Decomposition of Approximate Multi-Controlled Single-Qubit Gates Without Ancilla Qubits
• Learning quantum phase transition in parametrized quantum circuits with an attention mechanism
• Allowing leakage can increase quantum transmission
• Performance-centric roadmap for building a superconducting quantum computer
• Feature Prediction in Quantum Graph Recurrent Neural Networks with Applications in Information Hiding
• QECV: Quantum Error Correction Verification
• Demonstration of measurement-free universal fault-tolerant quantum computation
• General many-body entanglement swapping protocol: opportunities for distributed quantum computing
• Ground-state reachability for variational quantum eigensolvers: a Rydberg-atom case study
• Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses
• Boosting Classification with Quantum-Inspired Augmentations
• Verification of Quantum Circuits through Barrier Certificates using a Scenario Approach
• HaQGNN: Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks
• Scaling the human niche
• Symmetry-Checking in Band Structure Calculations on a Noisy Quantum Computer
• Gradient-Based Excitation Filter for Molecular Ground-State Simulation
• Architectural mechanisms of a universal fault-tolerant quantum computer
• Robust Tripartite Entanglement Generation via Correlated Noise in Spin Qubits
• Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies
• Noncontextual Pauli Hamiltonians
• Distributed Quantum Inner Product Estimation with Low-Depth Circuits
• Quantum-Classical Computing for Time-Dependent Ion-Atom Collision Dynamics: Applications to Charge Transfer Cross Section Simulations
• A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
• Qubernetes: Towards a unified cloud-native execution platform for hybrid classic-quantum computing
• A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits
• Nonstabilizerness and Error Resilience in Noisy Quantum Circuits
• Efficient Berry Phase Calculation via Adaptive Variational Quantum Computing Approach
• Robust Control of High-dimensional Quantum Systems against Coherent and Incoherent Errors
• A Survey of Quantum Generative Adversarial Networks: Architectures, Use Cases, and Real-World Implementations
• Revealing Quantum Information Encoded in Classical Images
• Qumode Tensor Networks for False Vacuum Decay in Quantum Field Theory
• Fidelity Relations in an Array of Neutral Atom Qubits -- Experimental Validation of Control Noise
• Quantum Optimization for Software Engineering: A Survey
• Quantum Circuits in Additive Hilbert Space
• Radiation-Induced Fault Detection in Superconducting Quantum Devices
• Circuit Design for a Star-shaped Spin-Qubit Processor via Algebraic Decomposition and Optimal Control
• Dynamical decoupling of interacting spins through group factorization
• Observation of Kardar-Parisi-Zhang universal scaling in two dimensions
• Adaptive random compiler for Hamiltonian simulation
• Excitation Amplitude Sampling for Low Variance Electronic Structure on Quantum Computers
• What is a good use case for quantum computers?
• Quantum-assisted tracer dispersion in turbulent shear flow
• Automatic Qiskit Code Refactoring Using Large Language Models
• Experimental Demonstration of High-Fidelity Logical Magic States from Code Switching
• Fully Quantum Computational Entropies
• POPQC: Parallel Optimization for Quantum Circuits (Extended Version)
• Scalable Simulation of Quantum Many-Body Dynamics with Or-Represented Quantum Algebra
• Variational quantum algorithms with invariant probabilistic error cancellation on noisy quantum processors
• A Depth-Aware Swap Insertion Scheme for the Qubit Mapping Problem
• A quantum-inspired classical algorithm for recommendation systems
• Taxonomy of migration scenarios for Qiskit refactoring using LLMs
• Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
• Universal cooling of quantum systems via randomized measurements
• A Quantum Approach for Implementing Fixed-Point Arithmetic in Solving Ordinary Differential Equations
• Devanagari Digit Recognition using Quantum Machine Learning
• Controlling quantum chaos via Parrondo strategies on noisy intermediate-scale quantum hardware
• Landauer Principle and Thermodynamics of Computation
• Experimental Verification of Entangled States in the Adversarial Scenario
• TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture
• A purely Quantum Generative Modeling through Unitary Scrambling and Collapse
• Quantum Topological Data Analysis with Linear Depth and Exponential Speedup
• Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning
• VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
• QSEA: Quantum Self-supervised Learning with Entanglement Augmentation
• GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems
• Optimizing Electronic Structure Simulations on a Trapped-ion Quantum Computer using Problem Decomposition
• Quantum block Krylov subspace projector algorithm for computing low-lying eigenenergies
• QForte: an efficient state simulator and quantum algorithms library for molecular electronic structure
• K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
• Adam assisted Fully informed Particle Swarm Optimization ( Adam-FIPSO ) based Parameter Prediction for the Quantum Approximate Optimization Algorithm (QAOA)
• Saving superconducting quantum processors from qubit decay and correlated errors generated by gamma and cosmic rays
• Entanglement Swapping for Repeater Chains with Finite Memory Sizes
• Paraconsistent Relations as a Variant of Kleene Algebras
• Pathfinding Quantum Simulations of Neutrinoless Double-Beta Decay
• Machine learning non-Markovian two-level quantum noise spectroscopy
• Impact of Temporally Correlated Dephasing Noise on the Fidelity of the 2-Qubit Deutsch-Jozsa Algorithm
• Measurement-Driven Phase Transition within a Volume-Law Entangled Phase
• Experimental Challenges of Implementing Quantum Phase Estimation Algorithms on IBM Quantum Computer
• Variational-toolbox-based separability detection of multiqubit states
• Quantum Image Preparation Based on Exclusive Sum-of-Product Minimization and Ternary Trees
• Exploring design patterns in quantum software: a case study
• Kernel k-Medoids as General Vector Quantization
• Entanglement cost hierarchies in quantum fragmented mixed states
• Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms
• Privacy-preserving neutral atom-based quantum classifier towards real healthcare applications
• Verified Optimization in a Quantum Intermediate Representation
• Simulating fluid vortex interactions on a superconducting quantum processor
• Observation of average topological phase in disordered Rydberg atom array
• QDNN: DNN with Quantum Neural Network Layers
• Beyond Diamond: Interpretable Machine Learning Discovery of Coherent Quantum Defect Hosts in Semiconductors
• Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry
• An Introduction to Variational Quantum Eigensolver Applied to Chemistry
• Efficient 2D Tensor Network Simulation of Quantum Systems
• Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation
• Dynamical mean field theory algorithm and experiment on quantum computers
• Bayesian Quantum Circuit
• Quantum Accelerator Stack: A Research Roadmap
• Subsystem-based Approach to Scalable Quantum Optimal Control
• Personalized Improvement of Standard Readout Error Mitigation using Low-Depth Circuits and Machine Learning
• Quantum-Inspired Genetic Optimization for Patient Scheduling in Radiation Oncology
• Deep-learned error mitigation via partially knitted circuits for the variational quantum eigensolver
• Experimental Detection of Dissipative Quantum Chaos
• Computational Architects of Society: Quantum Machine Learning for Social Rule Genesis
• Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential
• MUQUT: Multi-Constraint Quantum Circuit Mapping on Noisy Intermediate-Scale Quantum Computers
• Rademacher complexity of noisy quantum circuits
• Quantum Data Centres: Why Entanglement Changes Everything
• Stacking the Odds: Full-Stack Quantum System Design Space Exploration
• Self-attention U-Net decoder for toric codes
• Realizing Quantum Algorithms on Real Quantum Computing Devices
• Quantum Complexity and Chaos in Many-Qudit Doped Clifford Circuits
• Quantum annealing learning search implementations
• Quantum Machine Learning for Predicting Anastomotic Leak: A Clinical Study
• Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
• Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis
• Learning Circuits with Infinite Tensor Networks
• Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
• Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation
• The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
• Coherent error induced phase transition
• Sequential decoding of the XYZ² hexagonal stabilizer code
• Bosonic quantum error correction using squeezed Fock states
• Accelerating Variational Quantum Algorithms Using Circuit Concurrency
• Quantum Search for Gravitational Wave of Massive Black Hole Binaries
• Quantum amplitude estimation algorithms on IBM quantum devices
• QGAN-based data augmentation for hybrid quantum-classical neural networks
• Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits
• Knowledge Distillation Inspired Variational Quantum Eigensolver with Virtual Annealing
• Excited state calculations using variational quantum eigensolver with spin-restricted ansätze and automatically-adjusted constraints
• Predicting Many Properties of a Quantum System from Very Few Measurements
• Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks
• Networked Quantum Services
• Quantum-Based Software Engineering
• Markovian heat engine boosted by quantum coherence
• Neuromorphic computing with a single qudit
• Closing the Quantum-Classical Scaling Gap in Approximate Optimization
• Comparative analysis of robust entanglement generation in engineered XX spin chains
• Maritime Just-in-time navigation with Quantum algorithms
• Routing-Aware Placement for Zoned Neutral Atom-based Quantum Computing
• Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion
• Unsupervised Learning of Symmetry Protected Topological Phase Transitions
• Variational Quantum Simulations of a Two-Dimensional Frustrated Transverse-Field Ising Model on a Trapped-Ion Quantum Computer
• Flow to Nishimori universality in weakly monitored quantum circuits with qubit loss
• Preparing Renormalization Group Fixed Points on NISQ Hardware
• Leveraging Diffusion Models for Parameterized Quantum Circuit Generation
• Quantum-assisted anomaly detection with multivariate Gaussian distribution
• Pauli Propagation: A Computational Framework for Simulating Quantum Systems
• Dementia Prediction Applying Variational Quantum Classifier
• Spectral Transfer Tensor Method for Non-Markovian Noise Characterization
• Variational Quantum Algorithms for Euclidean Discrepancy and Covariate-Balancing
• Ab initio many-fermion structure calculations on a quantum computer
• Qubit coupled cluster singles and doubles variational quantum eigensolver ansatz for electronic structure calculations
• A review of Quantum Neural Networks: Methods, Models, Dilemma
• Quantum technologies for climate change: Preliminary assessment
• A loop Quantum Approximate Optimization Algorithm with Hamiltonian updating
• A quantum reservoir computing approach to computer-aided music composition
• Oraqle: An Empirical Analysis of Qubit Readout and Discriminators in Quantum Error Correction
• Quantum Simulation of Nuclear Shell Model Using GCM-Based Methods on NISQ Devices
• Disparity between multipartite entangling and disentangling powers of unitaries: Even vs Odd
• Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise
• The Lie Algebra of XY-mixer Topologies and Warm Starting QAOA for Constrained Optimization
• Quantum Circuit Parameters Learning with Gradient Descent Using Backpropagation
• Ab initio nuclear structure via quantum adiabatic algorithm
• A variational quantum eigensolver tailored to multi-band tight-binding simulations of electronic structures
• Non-Local Phase Estimation with a Rydberg-Superconducting Qubit Hybrid
• Logical Abstractions for Noisy Variational Quantum Algorithm Simulation
• Quantum computer-based simulation of Stark many-body localization in a 1D Fermi-Hubbard model
• Circuit structure-preserving error mitigation for High-Fidelity Quantum Simulations
• Role of Nonstabilizerness in Quantum Optimization
• Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems
• Quantum computation: Algorithms and Applications
• Estimation and uncertainty quantification for the output from quantum simulators
• Quantum Multi-view Kernel Learning with Local Information
• Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data
• Quantum Computing: An Overview Across the System Stack
• Quantum State Tomography as a Bilevel Problem, Utilizing I-Q Plane Data
• Hybrid Parameterized Quantum States for Variational Quantum Learning
• In the shadow of the Hadamard test: Using the garbage state for good and further modifications
• Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom Arrays
• Impact of Clifford operations on non-stabilizing power and quantum chaos
• Benchmarking data encoding methods in Quantum Machine Learning
• Noisy simulations of Quantum Walk and Quantum Walk search via Quantum Cellular Automata on a semiconducting spin processor emulator
• Quantum Reservoir Computing for Realized Volatility Forecasting
• Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor
• Quantum Opacity, Classical Clarity: A Hybrid Approach to Quantum Circuit Obfuscation
• Rethink the Role of Deep Learning towards Large-scale Quantum Systems
• Quantum dimension test using the uncertainty principle
• Large-scale quantum reservoir computing using a Gaussian Boson Sampler
• Multireference Embedding and Fragmentation Methods for Classical and Quantum Computers: from Model Systems to Realistic Applications
• Statistical Mechanics of Learning on Product Wasserstein Manifolds
• Feasible Architecture for Quantum Fully Convolutional Networks
• Microwave Quantum Link between Superconducting Circuits Housed in Spatially Separated Cryogenic Systems
• TensorMixedStates: a Julia library for simulating pure and mixed quantum states using matrix product states
• Decentralized Framework for Teleportation in Quantum Core Interconnects
• Coordinate space representation for quantum simulation of scalar field theory
• Community Detection Across Emerging Quantum Architectures
• Cooperative Platoon Routing and Dispatching via Edge-Assisted Hybrid Quantum Optimization
• Accelerating Parameter Initialization in Quantum Chemical Simulations via LSTM-FC-VQE
• Quantum computing with atomic qubit arrays: confronting the cost of connectivity
• Exploring Variational Entanglement Hamiltonians
• Electron spin resonance with scanning tunneling microscopy: a tool for an on-surface quantum platform of identical qubits
• Adaptive Quantum Physics-Informed Neural Networks for Differential Equations with Applications to Fluid Dynamics
• Flowing Through Hilbert Space: Quantum-Enhanced Generative Models for Lattice Field Theory
• Role of scrambling and noise in temporal information processing with quantum systems
• Constraint-Preserving QAOA for Personnel Rostering: Coverage-Preserving and Guarded-XY Mixer Constructions
• TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
• Unraveling spin entanglement using quantum gates with scanning tunneling microscopy-driven electron spin resonance
• Neural Quantum States for Nuclear Magnetic Resonance Spectroscopy
• Efficient protocol to estimate the Quantum Fisher Information Matrix for Commuting-Block Circuits
• Bra-ket entanglement, an indicator bridging entanglement, magic, and coherence
• Optimal Decoding for Measurement-Based GHZ State Preparation: The Maximum-Utility Decoder
• Scalable Trapped Ion Addressing with Adjoint-optimized Multimode Photonic Circuits
• Regularizing quantum loss landscapes by noise injection
• Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
• An effcient variational quantum Korkin-Zolotarev algorithm for solving shortest vector problems
• Trainable Discrete Feature Embeddings for Variational Quantum Classifier
• TeleSABRE: Layout Synthesis in Multi-Core Quantum Systems with Teleport Interconnect
• Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
• Physics-Inspired Extrapolation for efficient error mitigation and hardware certification
• Quon Classical Simulation: Unifying Cliffords, Matchgates and Entanglement
• Circuit Partitioning Using Large Language Models for Quantum Compilation and Simulations
• QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AI
• Local-Time Riemannian Score Matching on the Quantum Pure-State Manifold
• QUACOD: Quantum Optimization via Coordinate Descent for Scalable Drone Scheduling
• A Physical Transition Architecture for the Classical–Quantum Divide
• Lottery BP: Unlocking Quantum Error Decoding at Scale
• Performance Analysis and Noise Impact of a Novel Quantum KNN Algorithm for Machine Learning
• Constrained Quantum Optimization via Iterative Warm-Start XY-Mixers
• Scalable Quantum State Preparation via Large-Language-Model-Driven Discovery
• Optimization of Quantum Error Correcting Code under Temporal Variation of Qubit Quality
• Quantum Surrogate-Driven Image Classifier: A Gradient-Free Approach to Avoid Barren Plateaus
• A short review on qudit quantum machine learning
• From Hope to Heuristic: Realistic Runtime Estimates for Quantum Optimisation in NHEP
• Scalable Quantum Architecture Search via Landscape Analysis
• An application benchmark for fermionic quantum simulations
• Rényi Markov length in one-dimensional non-trivial mixed state phases and mixed state phase transitions
• PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework
• Quantum-Assisted Vehicle Routing: Realizing QAOA-based Approach on Gate-Based Quantum Computer
• Exact Separation of Words via Trace Geometry
• Divide-and-Conquer Simulation of Open Quantum Systems
• TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
• Quantum Circuit Overhead
• Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
• Scalable quantum circuit generation for iterative ground state approximation using Majorana Propagation
• Charging efficiency bursts in a quantum battery with cyclic indefinite causal order
• Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem
• On the stability to noise of fermion-to-qubit mappings
• Quantum computational chemistry
• An updated LLVM-based quantum research compiler with further OpenQASM support
• Distilling the knowledge with quantum neural networks
• QuScope: An Open-Source Python Framework for Quantum-Circuit Simulation of Transmission Electron Microscopy
• PACE-QAOA: Physics-Constrained Quantum Optimization for Qubit-Efficient Power System Islanding
• Intent-Level Quantum Programming with Assertion-Guided Execution and Inspectable Intermediate Representation
• HybridQC: Hardware-Grounded Simulation of Tightly Integrated Hybrid Quantum-Classical Systems
• Lattice patch structure for fixed-frequency transmon quantum computer with high-fidelity CNOT gates
• Rigorous quantum state tomography for distributed quantum computing
• Exploring Noisy Quantum Thermodynamical Processes via the Depolarizing-Channel Approximation
• Simplified Fermionic Scattering State Preparation for the NISQ Era
• On the Schrödingerization method for linear non-unitary dynamics with optimal dependence on matrix queries
• Theory of the Matchgate Commutant
• Finding the optimal Nash equilibrium in a discrete Rosenthal congestion game using the Quantum Alternating Operator Ansatz
• Reachability and optimal-time certificates for quantum control
• Computing noise-canceling observables via Pauli propagation
• Operator Learning for efficient Quantum Computation
• Optimizing resource allocation for accuracy in noisy variational quantum algorithms
• QPU-scale randomized benchmarking via Bell-pair injection
• Quantum-Assisted Optimal Rebalancing with Uncorrelated Asset Selection for Algorithmic Trading Walk-Forward QUBO Scheduling via QAOA
• Quantum Supremacy and the Complexity of Random Circuit Sampling
• Local and Multi-Scale Strategies to Mitigate Exponential Concentration in Quantum Kernels
• Q-Tag: watermarking quantum circuit generative models
• High-Quality Protein Force Fields with Noisy Quantum Processors
• Completely Positive Divisibility Does Not Mean Markovianity
• Navigating Hype, Interdisciplinary Collaboration, and Industry Partnerships in Quantum Information Science and Technology: Perspectives from Leading Quantum Educators
• Peptide Structure Prediction Using Counter-Diabatic Quantum Approximate Optimization Algorithm (CD-QAOA)
• Optimal Quantum Differential Privacy via Fisher Information Spectral Analysis
• Microwave-activated high-fidelity three-qubit gate scheme for fixed-frequency superconducting qubits
• Fibonacci many-body scars in a decorated Rule-54 quantum cellular automaton
• Quantum magic of strongly correlated fermions - the Hubbard dimer
• HPC-vQPU: A Service-Export Architecture for Virtual QPUs on Batch-Scheduled HPC Systems
• Variational Quantum Monte Carlo Method with a Neural-Network Ansatz for Open Quantum Systems
• Neural-Network Approach to Dissipative Quantum Many-Body Dynamics
• A cryogenic CMOS chip for generating control signals for multiple qubits
• Hybrid Quantum Recurrent Neural Network For Remaining Useful Life Prediction
• Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems
• Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
• Q-Fusion: Diffusing Quantum Circuits
• Irreversibility Enhances Quantum-Enhanced Markov-Chain Monte Carlo
• Generalized Kerr-Cat Qubit Codes
• Quantum Natural Gradient
• Integrating Neural Networks with a Quantum Simulator for State Reconstruction
• Replay-buffer engineering for noise-robust quantum circuit optimization
• Over forty years of research towards the understanding of Quantum Brownian Motion -- the contributions of A. O. Caldeira
• Simulating the dynamics of an SU(2) matrix model on a trapped-ion quantum computer
• A Review of Variational Quantum Algorithms: Insights into Fault-Tolerant Quantum Computing
• Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows
• Global Optimization for Parametrized Quantum Circuits
• Deep Sequence Modeling with Quantum Dynamics: Language as a Wave Function
• Warm-Starting QAOA with XY Mixers: A Novel Approach for Quantum-Enhanced Vehicle Routing Optimization
• Noise-Induced Landscape Distortion in QAOA for Constrained Binary Optimization: Empirical Characterization on IBM Quantum Hardware
• Quantum Homomorphic Encryption: Towards Practical and Private Computation on Untrusted Quantum Hardware
• EQE-QAOA: An Equivalence-Preserving Qubit Efficient Framework for Combinatorial Optimization
• Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
• 1. Quantum Applications - Fachbeitrag: Vielversprechend: Monte-Carlo-ähnliche Methoden auf dem Quantencomputer
• O3LS: Optimizing Lattice Surgery via Automatic Layout Searching and Loose Scheduling
• Scalable Quantum Molecular Generation via GPU-Accelerated Tensor-Network Simulation
• AlphaCNOT: Learning CNOT Minimization with Model-Based Planning
• Quantum Circuit Learning Using Non-Integrable System Dynamics
• Determining Molecular Ground State with Quantum Imaginary Time Evolution using Broken-Symmetry Wave Function
• Evaluation of Distimation's Real-world Performance on a Superconducting Quantum Computer
• Parameter-efficient Quantum Multi-task Learning
• Excited-State Quantum Chemistry on Qumode-Based Processors via Variational Quantum Deflation
• Noise-enhanced quantum kernels on analog quantum computers
• Frustration-Induced Expressibility Limitations in Variational Quantum Algorithms
• Efficient Transpilation of OpenQASM 3.0 Dynamic Circuits to CUDA-Q: Performance and Expressiveness Advantages
• A Systematic Study of Noise Effects in Hybrid Quantum-Classical Machine Learning
• Improved quasiparticle nuclear Hamiltonians for quantum computing
• QuMod: Parallel Quantum Job Scheduling on Modular QPUs using Circuit Cutting
• Testing a quantum error-correcting code on various platforms
• Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
• Non-variational supervised quantum kernel methods: a review
• Improving Feasibility in Quantum Approximate Optimization Algorithm for Vehicle Routing via Constraint-Aware Initialization and Hybrid XY-X Mixing
• Soft-Quantum Algorithms
• Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics
• Dynamical decoupling and quantum error correction with SU(d) symmetries
• Phase-Fidelity-Aware Truncated Quantum Fourier Transform for Scalable Phase Estimation on NISQ Hardware
• Special-Purpose Quantum Processor Design
• Cross-Ecosystem Bug Classification in Quantum Software
• Physics-Informed Quantum Machine Learning with Hard Constraint Embedding for Nonlinear Differential Equations of the First Order
• Enhancing quantum models of stochastic processes with error mitigation
• Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms
• Using models to improve optimizers for variational quantum algorithms
• LogosQ: A High-Performance and Type-Safe Quantum Computing Library in Rust
• Qubit-efficient quantum chemistry with the ADAPT variational quantum eigensolver and double unitary downfolding
• Classical Interfaces for Controlling Cryogenic Quantum Computing Technologies
• CHSH Violations using Dynamic Circuits
• EAQGA: A Quantum-Enhanced Genetic Algorithm with Novel Entanglement-Aware Crossovers
• Quantum Error Correction with Girth-16 Non-Binary LDPC Codes via Affine Permutation Construction
• Quantum State Design and Emergent Confinement Mechanism in Measured Tensor Network States
• Image Classification Using CNN-QNN Hybrid Model with Optimized Correlated Features
• Nanotubes as Sinks for Quantum Particles
• Resource Estimation for Fault-Tolerant Quantum Programs
• Computing Reaction and Activation Energies of Pericyclic Reactions using a Symmetry-Adapted VQE Algorithm
• Experimental Quantum Computing to Solve Network DC Power Flow Problem
• Quantum States Protection under Environmental Noise
• A Distributed Quantum Approximate Optimization Algorithm For Unit Commitment
• Efficient assessment of process fidelity
• What Limits the Simulation of Quantum Computers?
• Feynman-path-type simulation using stabilizer projector decomposition of unitaries
• Quantum Circuit Pruning: Improving Fidelity via Compilation-Aware Circuit Approximation
• Experimental pairwise entanglement estimation for an N-qubit system
• Pruned-ADAPT-VQE: compacting molecular ansätze by removing irrelevant operators
• The Classical Capacity of Additive Quantum Queue-Channels
• Emerging quantum computing algorithms for quantum chemistry
• Application of the Diamond Gate in Quantum Fourier Transformations and Quantum Machine Learning
• Weak dissipation for high fidelity qubit state preparation and measurement
• Dynamical Purification Phase Transition Induced by Quantum Measurements
• Probabilistic imaginary-time evolution in state-vector-based and shot-based simulations and on quantum devices
• Star-topology Registers: NMR and Quantum Information Perspectives
• HI-HCQC: A Tightly-Coupled Hardware Interface with High-Efficiency Communication for Hybrid Classical-Quantum Computing
• Majorana Constellations: A Geometric Lens on Multipartite Entanglement and Geometric Phases
• Simulating Quantum Circuits with Tree Tensor Networks using Density-Matrix Renormalization Group Algorithm
• Resource Reduction in Multiparty Quantum Secret Sharing of both Classical and Quantum Information under Noisy Scenario
• Preconditioning Natural and Second Order Gradient Descent in Quantum Optimization: A Performance Benchmark
• HAQA: A Hardware-Guided and Fidelity-Aware Strategy for Efficient Qubit Mapping Optimization
• Quantum-optimal-control-inspired ansatz for variational quantum algorithms
• Modular Debiasing: A Robust Method for Quantum Randomness Extraction
• Circuit design for clique problem and its implementation on quantum computer
• An efficient adaptive variational quantum solver of the Schrödinger equation based on reduced density matrices
• Quantum Metrology for Non-Markovian Processes
• Robust and efficient algorithms for high-dimensional black-box quantum optimization
• Decomposition of high-rank factorized unitary coupled-cluster operators using ancilla and multiqubit controlled low-rank counterparts
• Relation between Quantum Coherence and Quantum Entanglement in Quantum Measurements
• Representation of the Fermionic Boundary Operator
• Demonstrating NISQ era challenges in algorithm design on IBM’s 20 qubit quantum computer
• QAOA-PCA: Enhancing Efficiency in the Quantum Approximate Optimization Algorithm via Principal Component Analysis
• Path Matters: Industrial Data Meet Quantum Optimization
• Optimization of the Variational Quantum Eigensolver for Quantum Chemistry Applications
• An Error Mitigated Non-Orthogonal Quantum Eigensolver via Shadow Tomography
• The Measurement-induced Transition in Long-range Interacting Quantum Circuits
• Scalar quantum field theories as a benchmark for near-term quantum computers
• Utility of NISQ devices: optimizing experimental parameters for the fabrication of Au atomic junction using gate-based quantum computers
• A proposal for using molecular spin qudits as quantum simulators of light–matter interactions
• Quantum Circuits Assisted by Local Operations and Classical Communication: Transformations and Phases of Matter
• Balanced k-Means Clustering on an Adiabatic Quantum Computer
• Quantum algorithms for escaping from saddle points
• The NISQ Analyzer: Automating the Selection of Quantum Computers for Quantum Algorithms
• Concepts of work in autonomous quantum heat engines
• Efficient Bipartite Entanglement Detection Scheme with a Quantum Adversarial Solver
• SQUARE: Strategic Quantum Ancilla Reuse for Modular Quantum Programs via Cost-Effective Uncomputation
• Linear embedding of nonlinear dynamical systems and prospects for efficient quantum algorithms
• Tabu-Driven Quantum Neighborhood Samplers
• Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices
• The quantum house of cards
• Compton Form Factor Extraction using Quantum Deep Neural Networks
• PHOENIX: Pauli-Based High-Level Optimization Engine for Instruction Execution on NISQ Devices
• Efficient Estimation of Pauli Observables by Derandomization
• Expressibility and trainability of parametrized analog quantum systems for machine learning applications
• Classical simulation of quantum circuits using fewer Gaussian eliminations
• Impact of Error Rate Misreporting on Resource Allocation in Multi-tenant Quantum Computing and Defense
• Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
• Certified variational quantum algorithms for eigenstate preparation
• Simulation of collective neutrino oscillations on a quantum computer
• Quantum Gate Pattern Recognition and Circuit Optimization for Scientific Applications
• staq —A full-stack quantum processing toolkit
• Classical and Quantum Data Interaction in Programming Languages: A Runtime Architecture
• Ab initio molecular dynamics on quantum computers
• Comparative Benchmarking of Utility-Scale Quantum Emulators
• Constructing a virtual two-qubit gate by sampling single-qubit operations
• High fidelity manipulation of a qubit built from a synthetic nucleus
• Noise Robustness and Experimental Demonstration of a Quantum Generative Adversarial Network for Continuous Distributions
• Distinguishing noisy boson sampling from classical simulations
• Semi-device-independent quantum money
• Random State Technology
• High-Fidelity, High-Scalability Two-Qubit Gate Scheme for Superconducting Qubits
• A Hardware-Aware Heuristic for the Qubit Mapping Problem in the NISQ Era
• Variational quantum algorithm for estimating the quantum Fisher information
• Timing and Resource-Aware Mapping of Quantum Circuits to Superconducting Processors
• Prospects of Quantum Computing for Molecular Sciences
• Characterizing the loss landscape of variational quantum circuits
• Quantum variational optimization: The role of entanglement and problem hardness
• Experimental implementation of non-Clifford interleaved randomized benchmarking with a controlled-S gate
• The Efficient Preparation of Normal Distributions in Quantum Registers
• Hierarchical quantum classifiers
• Modelling for Quantum Error Mitigation
• Quantum Computing Solution of DC Power Flow
• Anomaly detection in high-energy physics using a quantum autoencoder
• Numerical hardware-efficient variational quantum simulation of a soliton solution
• Entanglement dynamics in dispersive optomechanics: Nonclassicality and revival
• Single-particle digitization strategy for quantum computation of a ϕ4 scalar field theory
• Simulating quantum many-body dynamics on a current digital quantum computer
• Quantifying magic for multi-qubit operations
• Theory of quantum path computing with Fourier optics and future applications for quantum supremacy, neural networks and nonlinear Schrödinger equations
• Spatial, spin, and charge symmetry projections for a Fermi-Hubbard model on a quantum computer
• Quantum algorithms for the generalized eigenvalue problem
• Simulating Nonlinearity in Quantum Neural Networks While Mitigating Barren Plateaus
• Validating quantum-classical programming models with tensor network simulations
• Digitized-counterdiabatic quantum approximate optimization algorithm
• Quantum supremacy using a programmable superconducting processor
• Quantum Advantage with Timestamp Membosonsampling
• Efficient entanglement generation and detection of generalized stabilizer states
• Modeling and mitigation of cross-talk effects in readout noise with applications to the Quantum Approximate Optimization Algorithm
• Penalty methods for a variational quantum eigensolver
• Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets
• Operator and entanglement growth in nonthermalizing systems: Many-body localization and the random singlet phase
• Dual-state purification for practical quantum error mitigation
• Experimental Simulation of Open Quantum System Dynamics via Trotterization
• Efficient evaluation of quantum observables using entangled measurements
• A proposal for practical multidimensional quantum networks
• Robust quantum classifier with minimal overhead
• Tree-tensor-network classifiers for machine learning: From quantum inspired to quantum assisted
• Towards analog quantum simulations of lattice gauge theories with trapped ions
• Integration of spectator qubits into quantum computer architectures for hardware tune-up and calibration
• Controlling phonons and photons at the wavelength scale: integrated photonics meets integrated phononics
• Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers
• Neural-network variational quantum algorithm for simulating many-body dynamics
• Realistic simulation of quantum computation using unitary and measurement channels
• Near-ideal spontaneous photon sources in silicon quantum photonics
• Quantum Simulation for Quantum Dynamics with Artificial Boundary Conditions
• Domain-specific compilers for dynamic simulations of quantum materials on quantum computers
• Quantifying the Efficiency of State Preparation via Quantum Variational Eigensolvers
• Quantum Circuit Engineering for Correcting Coherent Noise
• Efficient simulatability of continuous-variable circuits with large Wigner negativity
• Symmetry-adapted variational quantum eigensolver
• Symmetry-resolved entanglement detection using partial transpose moments
• Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework
• The Born rule and logical inference in quantum mechanics
• High-Fidelity Software-Defined Quantum Logic on a Superconducting Qudit
• Quantum noise protects quantum classifiers against adversaries
• Universal effectiveness of high-depth circuits in variational eigenproblems
• Authenticated Sublinear Quantum Private Information Retrieval
• Conditionally Rigorous Mitigation of Multiqubit Measurement Errors
• Measurement Cost of Metric-Aware Variational Quantum Algorithms
• An Application of Quantum Annealing Computing to Seismic Inversion
• Hybrid quantum-classical approach to enhanced quantum metrology
• Faster State Preparation across Quantum Phase Transition Assisted by Reinforcement Learning
• Quantum reservoir computing with a single nonlinear oscillator
• Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance
• Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders
• Hardness of classically sampling quantum chemistry circuits
• Performance guarantees of light-cone variational quantum algorithms for the maximum cut problem
• Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
• On the Convergence of Markov Chain Distribution within Quantum Walk Circuit Subspace
• Variational Quantum Optimization Benchmark Suite for Airline Crew Pairing and More
• Max-Cut graph-driven quantum circuit design for planar spin glasses
• Hardware Co-Designed Optimal Control for Programmable Atomic Quantum Processors via Reinforcement Learning
• Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
• Noise-aware Verification and Synthesis of Quantum Programs
• Quantum error correction with global control
• Quantum Amplitude Estimation for Travel Time Estimation in Stochastic Vehicle Routing Problems
• A Unified Framework for Sample Complexity of Structured Quantum State Tomography under Noisy Observations
• X-Z Round Scheduling for the Surface Code with Defects under Biased Noise
• Scalable Circuit Cutting: A Framework for Combined Gate and Wire Cuts Using Gate Groups
• Experimental demonstration of the Quantum Fourier Transform on up to 100 qubits using a convolutional compilation strategy
• Quantum Error Management in Practice: A Cross-Stack Benchmark
• Quantum parallel information exchange (QPIE) hybrid network with transfer learning
• Nanomaterials for Quantum Information Science and Engineering
• BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications
• Quantum Liouvillian Tomography
• A Practical Framework for Assessing the Performance of Observable Estimation in Quantum Simulation
• Quantum Phases Classification Using Quantum Machine Learning with SHAP-Driven Feature Selection
• An Adaptive Weighted QITE-VQE Algorithm for Combinatorial Optimization Problems
• Quantum Natural Language Processing: A Comprehensive Review of Models, Methods, and Applications
• Entanglement dynamic of arbitrary number qubit in the open quantum systems
• End-to-End Demonstration of Quantum Generative Adversarial Networks for Steel Microstructure Image Augmentation on a Trapped-Ion Quantum Computer
• Towards a Digital Twin of Noisy Quantum Computers: Calibration-Driven Emulation of Transmon Qubits
• Hybrid quantum optimization in the context of minimizing traffic congestion
• CDJ-Pontryagin Optimal Control for General Continuously Monitored Quantum Systems
• Toward pricing financial derivatives with an IBM quantum computer
• QubitHammer: Remotely Inducing Qubit State Change on Superconducting Quantum Computers
• Efficient Formal Verification of Quantum Error Correcting Programs
• Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models
• Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation
• Efficient two-electron ansatz for benchmarking quantum chemistry on a quantum computer
• Noise-adaptive test of quantum correlations with quasiprobability functions
• SurfBraid: A concept tool for preparing and resource estimating quantum circuits protected by the surface code
• Continuous-Variable Quantum Encoding Techniques: A Comparative Study of Embedding Techniques and Their Impact on Machine Learning Performance
• Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems
• Experimental Implementation of a Qubit-Efficient Variational Quantum Eigensolver with Analog Error Mitigation on a Superconducting Quantum Processor
• Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis
• Binary Tree Block Encoding of Classical Matrix
• Comparative Analysis of Classical and Quantum-Inspired Solvers: A Preliminary Study on the Weighted Max-Cut Problem
• A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
• Temporal Information Processing on Noisy Quantum Computers
• Weighted Approximate Quantum Natural Gradient for Variational Quantum Eigensolver
• Addressing ecological challenges from a quantum computing perspective
• Error mitigation for variational quantum algorithms through mid-circuit measurements
• Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
• Quantum computing [wikipedia]
• Qubit [wikipedia]

Discussions

• Is there a video recording of John Preskill 's 2017 Quantum Computing for Business keynote address , where he coins the term " NISQ "? Page 1 footnote of his paper Preskill, John. “ Quantum Computing [stackexchange, 3 points]
• - arxiv.org/abs/1801.00862 Quantum Computing in the NISQ era and beyond [bsky, 2 points, 0 comments]
• Quantum Computing in the NISQ Era and Beyond by John Preskill [hn, 2 points, 0 comments]
• Quantum Computing in the NISQ era and beyond [hn, 2 points, 0 comments]
• Quantum Computing in the NISQ Era and Beyond – John Preskill [hn, 2 points, 0 comments]
• Quantum Computing in the NISQ era and beyond [pdf] [hn, 1 points, 0 comments]
• Quantum Computing in the NISQ era and beyond [hn, 1 points, 0 comments]
• Quantum Computing in the NISQ era and beyond [hn, 1 points, 0 comments]

Related

• Where are we heading with NISQ?
• Beyond NISQ: The Megaquop Machine
• Quantum Computing -- A new scientific revolution in the making
• Do we have a quantum computer? Expert perspectives on current state and future prospects
• 5 Year Update to the Next Steps in Quantum Computing