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Quantum advantage in learning from experiments
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-1880-7_29openalex-snapshot
Assouad, Fano, and Le Cam
inferredcites →https://doi.org/10.1007/978-3-030-36030-6_10openalex-snapshot
(Pseudo) Random Quantum States with Binary Phase
inferredcites →https://doi.org/10.1007/978-3-030-56880-1_15openalex-snapshot
Scalable Pseudorandom Quantum States
inferredcites →https://doi.org/10.1007/978-3-319-96878-0_5openalex-snapshot
Pseudorandom Quantum States
inferredcites →https://doi.org/10.1017/9781316848142openalex-snapshot
The Theory of Quantum Information
inferredcites →https://doi.org/10.1038/nphoton.2011.35openalex-snapshot
Advances in quantum metrology
inferredcites →https://doi.org/10.1038/nphys3029openalex-snapshot
Quantum principal component analysis
inferredcites →https://doi.org/10.1038/s41467-021-27922-0openalex-snapshot
Quantum algorithmic measurement
inferredcites →https://doi.org/10.1038/s41467-022-32550-3openalex-snapshot
Generalization in quantum machine learning from few training data
inferredcites →https://doi.org/10.1038/s41534-019-0167-6openalex-snapshot
Variational quantum state diagonalization
inferredcites →https://doi.org/10.1038/s41567-020-0932-7openalex-snapshot
Predicting many properties of a quantum system from very few measurements
inferredcites →https://doi.org/10.1038/s41586-019-1666-5openalex-snapshot
Quantum supremacy using a programmable superconducting processor
inferredcites →https://doi.org/10.1088/1367-2630/ac37aeopenalex-snapshot
The dominant eigenvector of a noisy quantum state
inferredcites →https://doi.org/10.1088/2058-9565/ab788aopenalex-snapshot
Perspectives on quantum transduction
inferredcites →https://doi.org/10.1088/2058-9565/ac5a0fopenalex-snapshot
Experimental multi-state quantum discrimination through optical networks
inferredcites →https://doi.org/10.1103/physreva.105.032435openalex-snapshot
Quantum advantages for Pauli channel estimation
inferredcites →https://doi.org/10.1103/physreva.59.1070openalex-snapshot
Quantum nonlocality without entanglement
inferredcites →https://doi.org/10.1103/physreva.75.062331openalex-snapshot
Direct characterization of quantum dynamics: General theory
inferredcites →https://doi.org/10.1103/physreva.77.032322openalex-snapshot
Quantum-process tomography: Resource analysis of different strategies
inferredcites →https://doi.org/10.1103/physreva.81.032324openalex-snapshot
Optimal quantum learning of a unitary transformation
inferredcites →https://doi.org/10.1103/physrevlett.109.070503openalex-snapshot
Longer-Baseline Telescopes Using Quantum Repeaters
inferredcites →https://doi.org/10.1103/physrevlett.118.030502openalex-snapshot
Quantum State Discrimination Using the Minimum Average Number of Copies
inferredcites →https://doi.org/10.1103/physrevlett.126.190505openalex-snapshot
Information-Theoretic Bounds on Quantum Advantage in Machine Learning
inferredcites →https://doi.org/10.1103/physrevlett.127.060503openalex-snapshot
Quantum Principal Component Analysis Only Achieves an Exponential Speedup Because of Its State Preparation Assumptions
inferredcites →https://doi.org/10.1103/physrevlett.66.1119openalex-snapshot
Optimal detection of quantum information
inferredcites →https://doi.org/10.1103/physrevx.11.031057openalex-snapshot
Exponential Error Suppression for Near-Term Quantum Devices
inferredcites →https://doi.org/10.1103/physrevx.11.041036openalex-snapshot
Virtual Distillation for Quantum Error Mitigation
inferredcites →https://doi.org/10.1109/focs46700.2020.00070openalex-snapshot
Entanglement is Necessary for Optimal Quantum Property Testing
inferredcites →https://doi.org/10.1109/focs52979.2021.00063openalex-snapshot
Exponential Separations Between Learning With and Without Quantum Memory
inferredcites →https://doi.org/10.1126/science.abk3333openalex-snapshot
Provably efficient machine learning for quantum many-body problems
inferredcites →https://doi.org/10.1126/science.abn7293openalex-snapshot
Quantum advantage in learning from experiments
inferredcites →https://doi.org/10.1137/18m120275xopenalex-snapshot
Shadow Tomography of Quantum States
inferredcites →https://doi.org/10.1145/2897518.2897585openalex-snapshot
Sample-optimal tomography of quantum states
inferredcites →https://doi.org/10.1145/3313276.3316378openalex-snapshot
Gentle measurement of quantum states and differential privacy
inferredcites →https://doi.org/10.1145/3357713.3384269openalex-snapshot
Computations with greater Quantum depth are strictly more powerful (relative to an oracle)
inferredcites →https://doi.org/10.1145/3357713.3384291openalex-snapshot
On the need for large Quantum depth
inferredcites →https://doi.org/10.1145/3357713.3384314openalex-snapshot
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing Quantum machine learning
inferredcites →https://doi.org/10.1145/3519935.3519974openalex-snapshot
Distributed Quantum inner product estimation
inferredcites →https://doi.org/10.1145/3549524openalex-snapshot
Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning
inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
inferredcites →https://doi.org/10.1364/josab.424651openalex-snapshot
Quantum memories and the double-slit experiment: implications for astronomical interferometry
inferredcites →https://doi.org/10.18653/v1/d15-1167openalex-snapshot
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
inferredcites →https://doi.org/10.22331/q-2018-08-06-79openalex-snapshot
Quantum Computing in the NISQ era and beyond
inferredcites →https://doi.org/10.22331/q-2022-02-21-658openalex-snapshot
Online identification of symmetric pure states
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.4230/oasics.parma-ditam.2026.5openalex-snapshot
LAMINA: An MLIR-Based Translation Library for Heterogeneous Quantum-Classical Compilation
inferredcites →https://doi.org/10.46298/theoretics.24.7openalex-snapshot
Improved quantum data analysis
inferredcites →https://doi.org/10.48550/arxiv.1309.0238openalex-snapshot
API design for machine learning software: experiences from the scikit-learn project
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.2111.05874openalex-snapshot
A Hierarchy for Replica Quantum Advantage
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4809253openalex-extracted
Letter: Why Consider Quantum Instead Classical Pattern Recognition Techniques?
inferred← citeshttps://doi.org/10.1002/9781394167401.ch15openalex-snapshot
Quantum Computing to the Advantage of Neural Network
inferred← citeshttps://doi.org/10.1002/adsu.202300543openalex-snapshot
Retrosynthetic Life Cycle Assessment: A Short Perspective on the Sustainability of Integrating Thermoplastics and Artificial Intelligence Into Composite Systems
inferred← citeshttps://doi.org/10.1002/cae.70212openalex-snapshot
Microcontroller‐Driven Photonic Toolkit for Quantum Computing: A Hardware‐in‐the‐Loop Approach to Engineering Pedagogy
inferred← citeshttps://doi.org/10.1002/inf2.70158openalex-snapshot
Endohedral fullerenes as qubits: From synthesis to quantum computing applications
inferred← citeshttps://doi.org/10.1002/qute.202300130openalex-snapshot
Boosted Ensembles of Qubit and Continuous Variable Quantum Support Vector Machines for B Meson Flavor Tagging
inferred← citeshttps://doi.org/10.1002/qute.202300220openalex-snapshot
A General Approach to Dropout in Quantum Neural Networks
inferred← citeshttps://doi.org/10.1002/qute.202300240openalex-snapshot
Quantum‐Enhanced Computing for the Antiferromagnetic J1−J2$J_1-J_2$ Heisenberg Model
inferred← citeshttps://doi.org/10.1002/qute.202300247openalex-snapshot
Benefits of Open Quantum Systems for Quantum Machine Learning
inferred← citeshttps://doi.org/10.1002/qute.202300311openalex-snapshot
Statistical Complexity of Quantum Learning
inferred← citeshttps://doi.org/10.1002/qute.202300385openalex-snapshot
Quantum Anomaly Detection with a Spin Processor in Diamond
inferred← citeshttps://doi.org/10.1002/qute.202400081openalex-snapshot
Classification Analysis of Transition Metal Compounds Using Quantum Machine Learning
inferred← citeshttps://doi.org/10.1002/qute.202400143openalex-snapshot
Benchmarking Quantum Computational Advantages on Supercomputers
inferred← citeshttps://doi.org/10.1002/qute.202400268openalex-snapshot
Quantum Transfer Learning with Adversarial Robustness for Classification of High‐Resolution Image Datasets
inferred← citeshttps://doi.org/10.1002/qute.202400325openalex-snapshot
What can we Learn from Quantum Convolutional Neural Networks?
inferred← citeshttps://doi.org/10.1002/qute.202400703openalex-snapshot
Lean Classical‐Quantum Hybrid Neural Network Model for Image Classification
inferred← citeshttps://doi.org/10.1002/qute.202400716openalex-snapshot
Quantum Artificial Intelligence Scalability in the NISQ Era: Pathways to Quantum Utility
inferred← citeshttps://doi.org/10.1002/qute.202500234openalex-snapshot
Forward Discrete‐Time Quantum Walk for Efficiently Identifying Critical Nodes of Complex Networks
inferred← citeshttps://doi.org/10.1002/qute.202500530openalex-snapshot
QSEA: Quantum Self‐Supervised Learning with Entanglement Augmentation
inferred← citeshttps://doi.org/10.1002/qute.202500575openalex-snapshot
Multi‐Channel Convolutional Neural Quantum Embedding
inferred← citeshttps://doi.org/10.1002/qute.202500754openalex-snapshot
Loss Behavior in Supervised Learning With Entangled States
inferred← citeshttps://doi.org/10.1002/qute.202500982openalex-snapshot
MQNN: Multi‐Block Quantum Neural Networks for Radar Echo Signal Recognition of Unmanned Aerial Vehicles
inferred← citeshttps://doi.org/10.1002/qute.70310openalex-snapshot
From Quantum Algorithm Primitives to Design Patterns: A Unified Framework for NISQ and Fault‐Tolerant Regimes
inferred← citeshttps://doi.org/10.1007/978-3-031-40725-3_27openalex-snapshot
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-67357-3_5openalex-snapshot
Optimal Task Scheduling in 6G Networks: A Variational Quantum Computing Approach
inferred← citeshttps://doi.org/10.1007/978-3-031-72578-4_6openalex-snapshot
Minimial-Risk Training Samples for QNN Training from Measurements
inferred← citeshttps://doi.org/10.1007/978-3-031-84583-3_11openalex-snapshot
Quantum Computing in the Field of Earth Sciences
inferred← citeshttps://doi.org/10.1007/978-3-031-91098-2_6openalex-snapshot
Pseudorandomness in the (Inverseless) Haar Random Oracle Model
inferred← citeshttps://doi.org/10.1007/978-3-031-97063-4_5openalex-snapshot
Universal Graph Theory Operations for Graph State Preparation
inferred← citeshttps://doi.org/10.1007/978-3-032-00800-8_6openalex-snapshot
Quantum AIXI: Universal Intelligence via Quantum Information
inferred← citeshttps://doi.org/10.1007/978-3-032-11153-1_2openalex-snapshot
Adversarial Attack Transferability of Quantum and Classical Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-032-19536-4_13openalex-snapshot
Overcoming Challenges in Implementing Quantum AI
inferred← citeshttps://doi.org/10.1007/978-3-032-29918-5_3openalex-snapshot
Towards Quantum Machine Learning for Assessing the Resilience of Post-quantum Cryptography
inferred← citeshttps://doi.org/10.1007/978-3-032-31673-8_24openalex-snapshot
Hybrid Classical-Quantum Architecture for Vectorised Image Classification of Hand-Written Sketches
inferred← citeshttps://doi.org/10.1007/978-3-658-37534-8_6openalex-snapshot
Quantencomputer heute und in naher Zukunft: eine realistische Perspektive
inferred← citeshttps://doi.org/10.1007/978-981-92-0423-6_19openalex-snapshot
Quantum Neural Networks in the NISQ Era: Architectures, Challenges, and Applications
inferred← citeshttps://doi.org/10.1007/978-981-95-3272-8_14openalex-snapshot
Applications of Quantum Computation in Artificial Neural Network: Opportunities and Challenges
inferred← citeshttps://doi.org/10.1007/jhep03(2025)153openalex-snapshot
The complexity of learning (pseudo)random dynamics of black holes and other chaotic systems
inferred← citeshttps://doi.org/10.1007/s10462-025-11136-7openalex-snapshot
Quantum deep learning in neuroinformatics: a systematic review
inferred← citeshttps://doi.org/10.1007/s11128-023-04127-6openalex-snapshot
A design method for efficient variational quantum models based on specific Pauli axis
inferred← citeshttps://doi.org/10.1007/s11128-024-04540-5openalex-snapshot
Non-hemolytic peptide classification using a quantum support vector machine
inferred← citeshttps://doi.org/10.1007/s11128-025-05032-wopenalex-snapshot
Hybrid quantum–classical machine translation
inferred← citeshttps://doi.org/10.1007/s11128-026-05071-xopenalex-snapshot
Symmetry-constrained QCNN for few-shot learning with polylogarithmic generalization bounds
inferred← citeshttps://doi.org/10.1007/s11128-026-05186-1openalex-snapshot
Quantum generative adversarial networks: a comprehensive survey of theories, applications, and challenges in the NISQ era
inferred← citeshttps://doi.org/10.1007/s11128-026-05356-1openalex-snapshot
Quantum statistical learning theory: concepts, regimes, and open problems
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pLazyQML: a parallel package for efficient execution of QML models on classical computers
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Quantum image representation-based quantum neural networks for binary classification
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A duplication-free quantum neural network for universal approximation
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Validating a Koopman-quantum hybrid paradigm for diagnostic denoising of fusion devices
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A probabilistic model of quantum states for classical data security
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Science Mapping Analysis of Density Functional Theory (DFT) for Material Design: A Review
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Information processing at the speed of light
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On resolving the out of vocabulary problem in DisCoCat-based quantum natural language processing
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Artificial intelligence in cancer care: revolutionizing diagnosis, treatment, and precision medicine amid emerging challenges and future opportunities
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Variational Quantum Computing for Quantum Simulation: Principles, Implementations, and Challenges
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A systematic comparative analysis of Quantum mechanics-based image processing and denoising algorithms
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Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma
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Optimisation-free density estimation and classification with quantum circuits
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Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
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Rapid training of quantum recurrent neural networks
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Quantum Gaussian process regression for Bayesian optimization
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Generative model for learning quantum ensemble with optimal transport loss
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Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction
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Quantum next generation reservoir computing: an efficient quantum algorithm for forecasting quantum dynamics
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The role of data embedding in equivariant quantum convolutional neural networks
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Unsupervised beyond-standard-model event discovery at the LHC with a novel quantum autoencoder
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Hybrid quantum-classical reinforcement learning in latent observation spaces
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Optimizer-dependent generalization bound for quantum neural networks
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HiQC: hybrid quantum classical deep learning with parameter efficient quantum modules
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Learning reduced representations for quantum classifiers
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Unleashing the expressive power of pulse-based quantum neural networks
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Quantum neural networks in practice: a comparative study with classical models from standard data sets to industrial images
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Quantum machine learning for state tomography using classical data
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QCS-ADME: Quantum circuit search for drug property prediction with imbalanced data and regression adaptation
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Learning functions of quantum states with distributed architectures
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Q-SCOPE: Towards characterizing quantum state geometry for out-of-distribution prediction and benchmark evaluation
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Quantum information processing with superconducting circuits: A perspective
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Federated quantum natural gradient descent for quantum federated learning
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Machine learning meets quantum
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Quantum data processing and analysis: revolutionizing data science
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Federated quantum machine learning for drug discovery and healthcare
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Why consider quantum instead classical pattern recognition techniques?
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Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data
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A hybrid quantum-neural network for heart disease classification
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Enhancing emotional response detection in virtual reality with quantum support vector machine learning
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Quantum-enhanced long short-term memory with attention for spatial permeability prediction in oilfield reservoirs
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EEG-based motor imagery classification with quantum algorithms
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QUSL: Quantum unsupervised image similarity learning with enhanced performance
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Construction of ε-ASIC-POVMs via 2-to-1 PN functions and the Li bound
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Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments
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Quantum support vector machine without iteration
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Knowledge-driven quantum architecture search through filtering and focusing
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Digital payments in network formation games: Theory of adoption and quantum algorithms
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Designing complex concentrated alloys with quantum machine learning and language modeling
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CQNAS: Convolutional quantum hybrid neural network architecture search for image classification
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Backdoor attacks against Hybrid Classical-Quantum Neural Networks
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Two-stage behavior of mutual information in quantum neural networks
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Identifying Quantum Computing Applications in the Study and Operation of Manufacturing Systems
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Machine learning for anomaly detection in particle physics
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Quantum neuronal sensing of quantum many-body states on a 61-qubit programmable superconducting processor
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Quantum delegated and federated learning via quantum homomorphic encryption
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Learning quantum finite automata with queries
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Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration across Distributed Data Sources
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Identification of an X-Band Clock Transition in Cp′3Pr–Enabled by a 4f25d1Configuration
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The AI–quantum computing mash-up: will it revolutionize science?
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Out-of-distribution generalization for learning quantum dynamics
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Deep quantum neural networks on a superconducting processor
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Synergistic pretraining of parametrized quantum circuits via tensor networks
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Towards provably efficient quantum algorithms for large-scale machine-learning models
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Improved machine learning algorithm for predicting ground state properties
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Transition role of entangled data in quantum machine learning
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Exponential concentration in quantum kernel methods
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Overcoming the coherence time barrier in quantum machine learning on temporal data
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Machine learning on quantum experimental data toward solving quantum many-body problems
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Demonstration of robust and efficient quantum property learning with shallow shadows
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Quantum computing universal thermalization dynamics in a (2 + 1)D Lattice Gauge Theory
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Pushing the boundary of quantum advantage in hard combinatorial optimization with probabilistic computers
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Quantum advantage for learning shallow neural networks with natural data distributions
inferred← citeshttps://doi.org/10.1038/s41467-026-68532-yopenalex-snapshot
On the fundamental resource for exponential advantage in quantum channel learning
inferred← citeshttps://doi.org/10.1038/s41467-026-70420-4openalex-snapshot
Superior resilience to poisoning and amenability to unlearning in quantum machine learning
inferred← citeshttps://doi.org/10.1038/s41524-026-02032-xopenalex-snapshot
Quantum-annealed machine learning discovers ductile, high strength and corrosion-resistant high-entropy alloy
inferred← citeshttps://doi.org/10.1038/s41534-022-00611-6openalex-snapshot
Variational quantum state eigensolver
inferred← citeshttps://doi.org/10.1038/s41534-022-00649-6openalex-snapshot
Intelligent certification for quantum simulators via machine learning
inferred← citeshttps://doi.org/10.1038/s41534-023-00703-xopenalex-snapshot
Boundaries of quantum supremacy via random circuit sampling
inferred← citeshttps://doi.org/10.1038/s41534-023-00734-4openalex-snapshot
Quantum reservoir computing implementation on coherently coupled quantum oscillators
inferred← citeshttps://doi.org/10.1038/s41534-023-00740-6openalex-snapshot
Quantum gene regulatory networks
inferred← citeshttps://doi.org/10.1038/s41534-023-00779-5openalex-snapshot
Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor
inferred← citeshttps://doi.org/10.1038/s41534-024-00846-5openalex-snapshot
A hybrid framework for estimating nonlinear functions of quantum states
inferred← citeshttps://doi.org/10.1038/s41534-024-00854-5openalex-snapshot
Group-theoretic error mitigation enabled by classical shadows and symmetries
inferred← citeshttps://doi.org/10.1038/s41534-024-00902-0openalex-snapshot
Trainability barriers and opportunities in quantum generative modeling
inferred← citeshttps://doi.org/10.1038/s41534-024-00949-zopenalex-snapshot
Simulating non-completely positive actions via exponentiation of Hermitian-preserving maps
inferred← citeshttps://doi.org/10.1038/s41534-025-01037-6openalex-snapshot
Quantum ensemble learning with a programmable superconducting processor
inferred← citeshttps://doi.org/10.1038/s41534-025-01078-xopenalex-snapshot
Entanglement-induced provable and robust quantum learning advantages
inferred← citeshttps://doi.org/10.1038/s41586-023-06927-3openalex-snapshot
Logical quantum processor based on reconfigurable atom arrays
inferred← citeshttps://doi.org/10.1038/s41586-024-08148-8openalex-snapshot
Learning high-accuracy error decoding for quantum processors
inferred← citeshttps://doi.org/10.1038/s41586-026-10171-wopenalex-snapshot
Entanglement-assisted non-local optical interferometry in a quantum network
inferred← citeshttps://doi.org/10.1038/s41598-022-25280-5openalex-snapshot
Quantum face recognition protocol with ghost imaging
inferred← citeshttps://doi.org/10.1038/s41598-023-37068-2openalex-snapshot
Variational quantum non-orthogonal optimization
inferred← citeshttps://doi.org/10.1038/s41598-023-46497-yopenalex-snapshot
The power of one clean qubit in supervised machine learning
inferred← citeshttps://doi.org/10.1038/s41598-024-80188-6openalex-snapshot
Characterizing Grover search algorithm on large-scale superconducting quantum computers
inferred← citeshttps://doi.org/10.1038/s41598-025-34610-2openalex-snapshot
Quantum phase classification via partial tomography-based quantum hypothesis testing
inferred← citeshttps://doi.org/10.1038/s41598-026-45038-7openalex-snapshot
Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement
inferred← citeshttps://doi.org/10.1038/s42005-023-01290-1openalex-snapshot
Practical advantage of quantum machine learning in ghost imaging
inferred← citeshttps://doi.org/10.1038/s42005-024-01552-6openalex-snapshot
A framework for demonstrating practical quantum advantage: comparing quantum against classical generative models
inferred← citeshttps://doi.org/10.1038/s42005-024-01765-9openalex-snapshot
Quantum deep generative prior with programmable quantum circuits
inferred← citeshttps://doi.org/10.1038/s42005-024-01811-6openalex-snapshot
Quantum anomaly detection in the latent space of proton collision events at the LHC
inferred← citeshttps://doi.org/10.1038/s42005-025-02111-3openalex-snapshot
A coherent approach to quantum-classical optimization
inferred← citeshttps://doi.org/10.1038/s42254-022-00511-wopenalex-snapshot
Dequantizing algorithms to understand quantum advantage in machine learning
inferred← citeshttps://doi.org/10.1038/s42256-023-00661-1openalex-snapshot
Towards quantum enhanced adversarial robustness in machine learning
inferred← citeshttps://doi.org/10.1038/s43018-024-00770-9openalex-snapshot
Quantum computing for oncology
inferred← citeshttps://doi.org/10.1038/s43588-022-00311-3openalex-snapshot
Challenges and opportunities in quantum machine learning
inferred← citeshttps://doi.org/10.1038/s43588-022-00351-9openalex-snapshot
Experimental quantum adversarial learning with programmable superconducting qubits
inferred← citeshttps://doi.org/10.1038/s43588-022-00359-1openalex-snapshot
Robust quantum classifiers via NISQ adversarial learning
inferred← citeshttps://doi.org/10.1039/d5dd00377fopenalex-snapshot
Chemically motivated simulation problems are efficiently solvable on a quantum computer
inferred← citeshttps://doi.org/10.1051/epjconf/202636001029openalex-snapshot
Variational Quantum Feature Selection for High-Dimensional Classification: A Hybrid Quantum-Classical Approach
inferred← citeshttps://doi.org/10.1051/wujns/2024293193openalex-snapshot
Exploring the Power of Entangled Data in Quantum Machine Learning
inferred← citeshttps://doi.org/10.1063/5.0146934openalex-snapshot
Classical and quantum trial wave functions in auxiliary-field quantum Monte Carlo applied to oxygen allotropes and a CuBr2 model system
inferred← citeshttps://doi.org/10.1063/5.0179540openalex-snapshot
Enhancing quantum annealing in digital–analog quantum computing
inferred← citeshttps://doi.org/10.1063/5.0233470openalex-snapshot
Entanglement engineering of optomechanical systems by reinforcement learning
inferred← citeshttps://doi.org/10.1063/5.0245874openalex-snapshot
Chemical applications of variational quantum eigenvalue-based quantum algorithms: Perspective and survey
inferred← citeshttps://doi.org/10.1063/5.0255225openalex-snapshot
Investigation of channel material purity in fully depleted silicon-on-insulator transistors designed for qubit applications
inferred← citeshttps://doi.org/10.1063/5.0301000openalex-snapshot
Ground state-based quantum feature maps
inferred← citeshttps://doi.org/10.1073/pnas.2211115120openalex-snapshot
Data assimilation in operator algebras
inferred← citeshttps://doi.org/10.1080/00107514.2022.2135672openalex-snapshot
The physics of learning machines
inferred← citeshttps://doi.org/10.1080/09540091.2024.2312121openalex-snapshot
Design and analysis of quantum machine learning: a survey
inferred← citeshttps://doi.org/10.1088/1361-6633/ad7f69openalex-snapshot
A comprehensive review of quantum machine learning: from NISQ to fault tolerance
inferred← citeshttps://doi.org/10.1088/1361-6633/ad82cfopenalex-snapshot
Expressibility-induced concentration of quantum neural tangent kernels
inferred← citeshttps://doi.org/10.1088/1367-2630/ac94efopenalex-snapshot
Polynomial T-depth quantum solvability of noisy binary linear problem: from quantum-sample preparation to main computation
inferred← citeshttps://doi.org/10.1088/1367-2630/acb5bcopenalex-snapshot
Noise tailoring for robust amplitude estimation
inferred← citeshttps://doi.org/10.1088/1367-2630/acc605openalex-snapshot
Quantum generative adversarial imitation learning
inferred← citeshttps://doi.org/10.1088/1367-2630/ad6f3dopenalex-snapshot
Gate-based quantum neurons in hybrid neural networks
inferred← citeshttps://doi.org/10.1088/1367-2630/ade46fopenalex-snapshot
No-go theorem for environment-assisted invariance in non-unitary dynamics
inferred← citeshttps://doi.org/10.1088/1402-4896/adda9eopenalex-snapshot
A quantum neural network-based approach to power quality disturbances detection and recognition
inferred← citeshttps://doi.org/10.1088/1402-4896/ae51c8openalex-snapshot
Quantum resource-performance balance in quantum convolutional neural networks: a study of hierarchical Ansatz-based QCNN
inferred← citeshttps://doi.org/10.1088/1402-4896/ae87e2openalex-snapshot
Resgru: Syndrome decoder for heavy-hexagon quantum error correction code
inferred← citeshttps://doi.org/10.1088/1742-5468/ad6df3openalex-snapshot
Steered quantum coherence and entropic uncertainty relation in the cluster Ising model
inferred← citeshttps://doi.org/10.1088/1742-5468/add0a3openalex-snapshot
Boosting RBFNN performance in regression tasks with quantum kernel methods
inferred← citeshttps://doi.org/10.1088/1742-6596/2634/1/012043openalex-snapshot
Review of ansatz designing techniques for variational quantum algorithms
inferred← citeshttps://doi.org/10.1088/1742-6596/3139/1/012068openalex-snapshot
Charger-based quantum battery with periodically driven-dissipative
inferred← citeshttps://doi.org/10.1088/1748-0221/17/03/c03037openalex-snapshot
Frontiers in computing for artificial intelligence
inferred← citeshttps://doi.org/10.1088/1751-8121/adf478openalex-snapshot
Measure-theoretic approach to negative probabilities
inferred← citeshttps://doi.org/10.1088/2058-9565/acc4e3openalex-snapshot
Quantum mixed state compiling
inferred← citeshttps://doi.org/10.1088/2058-9565/acdd92openalex-snapshot
Active learning on a programmable photonic quantum processor
inferred← citeshttps://doi.org/10.1088/2058-9565/acf1c7openalex-snapshot
A hybrid quantum–classical neural network for learning transferable visual representation
inferred← citeshttps://doi.org/10.1088/2058-9565/ad133eopenalex-snapshot
Quantum-classical hybrid neural networks in the neural tangent kernel regime
inferred← citeshttps://doi.org/10.1088/2058-9565/ad466copenalex-snapshot
Resource-efficient quantum principal component analysis
inferred← citeshttps://doi.org/10.1088/2058-9565/ad752dopenalex-snapshot
Quantum-enhanced learning with a controllable bosonic variational sensor network
inferred← citeshttps://doi.org/10.1088/2058-9565/ad8e80openalex-snapshot
Permutation-equivariant quantum convolutional neural networks
inferred← citeshttps://doi.org/10.1088/2058-9565/adc14fopenalex-snapshot
Robust ultra-shallow shadows
inferred← citeshttps://doi.org/10.1088/2058-9565/add61dopenalex-snapshot
The travelling salesperson problem and the challenges of near-term quantum advantage
inferred← citeshttps://doi.org/10.1088/2058-9565/ae075bopenalex-snapshot
Sample-based Hamiltonian and Lindbladian simulation: non-asymptotic analysis of sample complexity
inferred← citeshttps://doi.org/10.1088/2058-9565/ae20b5openalex-snapshot
Architectures and random properties of symplectic quantum circuits
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