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Machine Learning with Quantum Computers

https://doi.org/10.1007/978-3-030-83098-4
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The Pricing of American Options on the Quantum Computer
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A Hybrid Quantum Wasserstein GAN with Applications to Option Pricing
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A Cutting-Edge Solution for Intrusion Detection Using Hybrid Quantum-Classical Computing
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Introduction
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Quantum Neurocomputing
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Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials
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Benefits of Open Quantum Systems for Quantum Machine Learning
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Statistical Complexity of Quantum Learning
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Quantum‐Noise‐Driven Generative Diffusion Models
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Method for Noise‐Induced Regularization in Quantum Neural Networks
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Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
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QKNN: Noise‐Resilient Quantum KNN Algorithm for High‐Accuracy Classification
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Hybrid Quantum Kernel Support Vector Machine for Network Intrusion Detection Using NISQ‐Compatible Quantum Circuits
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Where to Go Next?
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Cellular Automata Music Composition: From Classical to Quantum
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Steps Forward to Quantum Learning Vector Quantization for Classification Learning on a Theoretical Quantum Computer
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Quantum Technologies for Space and Aerial Vehicles
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Design Considerations for Denoising Quantum Time Series Autoencoder
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Quantum Revolution in Space: Enhancing Space Technology
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Quantum Reinforcement Learning: Advancing AI Agents Through Quantum Computing
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Variational Quantum Eigensolver for Optimizing Network Scheduling Using QUBO Formulation
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Quantum Computing: Foundations, Opportunities, Challenges, and Applications in Healthcare
inferred← citeshttps://doi.org/10.1007/978-3-031-81247-7_13openalex-snapshot
A Variational Quantum Soft Actor-Critic Algorithm for Continuous Control Tasks
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Supervised Quantum Machine Learning
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Learning Robust Observable to Address Noise in Quantum Machine Learning
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Evolution of Artificial Intelligence and Quantum Computing
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LazyQML: A Python Library to Benchmark Quantum Machine Learning Models
inferred← citeshttps://doi.org/10.1007/978-3-031-90200-0_8openalex-snapshot
Adiabatic Training for Variational Quantum Algorithms
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Distributed Quantum Computing: Applications and Challenges
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Comparing Emerging Technologies in Image Classification: From Quantum to Kolmogorov
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Quantum AIXI: Universal Intelligence via Quantum Information
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A Quantum Machine Learning Approach to Cardiopulmonary Sound Classification
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Fundamentals of Quantum Machine Learning and Robustness
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Quantum Machine Learning-Based Detection of Retinopathy in Retinal Images of Diabetic Patients
inferred← citeshttps://doi.org/10.1007/978-3-032-13883-5_2openalex-snapshot
Entanglement Guided Stochastic Regularization for Robust Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-14186-6_25openalex-snapshot
Serverless Orchestration of Quantum Machine Learning Workflows in the Cloud
inferred← citeshttps://doi.org/10.1007/978-3-032-15188-9_9openalex-snapshot
Synergizing Quantum Machine Learning and High-Performance Computing for Sustainable Resource Management
inferred← citeshttps://doi.org/10.1007/978-3-032-15404-0_23openalex-snapshot
A Mixture of Quantum Experts for Multi-task Classifications and Global Generalizability
inferred← citeshttps://doi.org/10.1007/978-3-032-15606-8_5openalex-snapshot
Explainable AI: Tools and Techniques
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Quantum AI for Epidemiological Intelligence and Therapeutic Supply Chains
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Hybrid Quantum-Classical Neural Networks for Network Intrusion Detection: A Parameter-Efficient Approach
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Quantum Entropy–Driven Temperature Scaling for Hallucination Mitigation in Generative Models
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Ano-HQNN: Hybrid Quantum Neural Network for Enhanced Anomaly Detection in Surveillance Videos
inferred← citeshttps://doi.org/10.1007/978-3-658-45044-1_4openalex-snapshot
Marktforschung
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Quantencomputing und Künstliche Intelligenz
inferred← citeshttps://doi.org/10.1007/978-981-92-3768-5_4openalex-snapshot
Toward a Framework for Ethical Quantum Computing: Foundations and Research Directions
inferred← citeshttps://doi.org/10.1007/978-981-95-8371-3_2openalex-snapshot
Quantum Information Technology and the Law
inferred← citeshttps://doi.org/10.1007/s00006-023-01279-7openalex-snapshot
Clifford Algebras, Quantum Neural Networks and Generalized Quantum Fourier Transform
inferred← citeshttps://doi.org/10.1007/s00500-022-07131-7openalex-snapshot
Improved training of deep convolutional networks via minimum-variance regularized adaptive sampling
inferred← citeshttps://doi.org/10.1007/s00521-023-09213-5openalex-snapshot
Design of gender recognition system using quantum-based deep learning
inferred← citeshttps://doi.org/10.1007/s00521-025-11522-wopenalex-snapshot
Multi-classification of brain tumors using proposed hybrid quantum–classical integrated neural network (HQCINN) models: shallow and deep circuit approaches
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Predicting open-hole laminates failure using support vector machines with classical and quantum kernels
inferred← citeshttps://doi.org/10.1007/s10791-026-10179-wopenalex-snapshot
A hybrid quantum–classical convolutional neural network with EfficientNet-B0 and PSO-based feature optimization for multiclass plant leaf disease classification
inferred← citeshttps://doi.org/10.1007/s11042-024-19843-zopenalex-snapshot
A systematic literature review on image splicing detection and localization using emerging technologies
inferred← citeshttps://doi.org/10.1007/s11128-023-03837-1openalex-snapshot
Data rotation and its influence on quantum encoding
inferred← citeshttps://doi.org/10.1007/s11128-023-03869-7openalex-snapshot
Configurable sublinear circuits for quantum state preparation
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Encrypted quantum state tomography with phase estimation for quantum Internet
inferred← citeshttps://doi.org/10.1007/s11128-023-04187-8openalex-snapshot
Impact of barren plateaus countermeasures on the quantum neural network capacity to learn
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Restricting to the chip architecture maintains the quantum neural network accuracy
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Enhancing the performance of variational quantum classifiers with hybrid autoencoders
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/s11128-026-05164-7openalex-snapshot
Generalized quantum Hadamard test for machine learning
inferred← citeshttps://doi.org/10.1007/s11227-022-04923-4openalex-snapshot
Supercomputing leverages quantum machine learning and Grover’s algorithm
inferred← citeshttps://doi.org/10.1007/s11227-024-06615-7openalex-snapshot
A Quantum LSTM-based approach to cyber threat detection in virtual environment
inferred← citeshttps://doi.org/10.1007/s11227-025-06966-9openalex-snapshot
Data-dependent generalization bounds for parameterized quantum models under noise
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pLazyQML: a parallel package for efficient execution of QML models on classical computers
inferred← citeshttps://doi.org/10.1007/s11227-025-07789-4openalex-snapshot
Medical image analysis: a systematization of knowledge on the convergence of AI and quantum computing
inferred← citeshttps://doi.org/10.1007/s11227-025-07965-6openalex-snapshot
Sentiment analysis of movie reviews based on quantum convolutional neural networks
inferred← citeshttps://doi.org/10.1007/s11227-026-08295-xopenalex-snapshot
Quantum-enhanced architectures for multivariate time-series forecasting
inferred← citeshttps://doi.org/10.1007/s11432-023-3879-7openalex-snapshot
Quantum self-attention neural networks for text classification
inferred← citeshttps://doi.org/10.1007/s11664-025-12306-7openalex-snapshot
Deutsch Quantum Algorithm-Based Detection of Internal Fault in a Transformer
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Fault-tolerant quantum neural networks suppressing barren plateaus via localised cost functions and shallow parametrised architectures
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Quantum hidden Markov model for sequential analysis
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Quantum Natural Language Processing
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$$\mathrm{Q(AI)}^2$$: Quantum Artificial Intelligence for the Automotive Industry
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Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK
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Satellite Image Representations for Quantum Classifiers
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Solving transport equations on quantum computers—potential and limitations of physics-informed quantum circuits
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Quantum Boltzmann Machine and Thermofield Dynamics
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A Hybrid Variational Quantum-Classical Neural Network for CPT-Based Prediction of Shear Wave Velocity and Soil Behaviour Type Index
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The Quantum Density Matrix and Its Many Uses
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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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Exploring the features of quanvolutional neural networks for improved image classification
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On the interpretability of quantum neural networks
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Pulsar classification: comparing quantum convolutional neural networks and quantum support vector machines
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Generalization error bound for quantum machine learning in NISQ era—a survey
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Coherent feed-forward quantum neural network
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Several fitness functions and entanglement gates in quantum kernel generation
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Optimal training of finitely sampled quantum reservoir computers for forecasting of chaotic dynamics
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Estimation of mutual information via quantum kernel methods
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A case study for cyber-attack detection using quantum variational circuits
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Empirical power of quantum encoding methods for binary classification
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Quantum convolution image processing by quantum wavelet transform for extraction of features
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High-expressibility quantum neural networks using only classical resources
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Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks
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Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion
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Can Quantum Neural Networks Estimate the Redshifted Global Hi 21-cm Signal Parameters?
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Hybrid quantum-inspired fuzzy U-net with Giza pyramid construction optimization for pulmonary emphysema classification
inferred← citeshttps://doi.org/10.1016/bs.arcc.2024.10.007openalex-snapshot
Federated quantum machine learning for drug discovery and healthcare
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Framework for learning and control in the classical and quantum domains
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Quantum FP-growth algorithm using GPU simulation- application to digital soil mapping
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A machine learning approach for the surrogate modeling of uncertain distributed process engineering models
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PQKLP: Projected Quantum Kernel based Link Prediction in Dynamic Networks
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A probabilistic deep learning approach for thermal and exergy forecasting in organic Rankine cycles
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Image classification of archaeological artifacts using quantum neural networks
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A quantum neural network model for short term wind speed forecasting using weather data
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Predicting antimicrobial peptide properties using enhanced quantum recurrent neural network with self-attention and peephole mechanisms
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Multi-class classification based on quantum state discrimination
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Parameter-efficient Quantum Denoising Diffusion Probabilistic Models with temporal encoding
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A Variational Quantum Classifier for predictive analysis in industrial production
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Environmental impact assessment of ocean energy converters using quantum machine learning
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Enhancement of radial basis function model via quantum kernel estimation
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Performance enhancement of artificial intelligence: A survey
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Quantum AI for Alzheimer’s disease early screening
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Quantum recurrent neural networks for sequential learning
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Self-supervised pre-trained neural network for quantum natural language processing
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Broad learning system via adaptive maximum weighted correntropy
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Explainable Artificial Intelligence for Computer Vision and Quantum Machine Learning
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Quantum-Powered Deep Learning for Advanced Community Detection in Complex Networks: A Systematic Literature Review
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Toward the end-to-end optimization of particle physics instruments with differentiable programming
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Quantum computing and chemistry
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Machine Learning Algorithms Used in PSE Environments: A Didactic Approach and Critical Perspective
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Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines
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Out-of-distribution generalization for learning quantum dynamics
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Understanding quantum machine learning also requires rethinking generalization
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Overcoming the coherence time barrier in quantum machine learning on temporal data
inferred← citeshttps://doi.org/10.1038/s41534-023-00747-zopenalex-snapshot
Hierarchical quantum circuit representations for neural architecture search
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A quantum leaky integrate-and-fire spiking neuron and network
inferred← citeshttps://doi.org/10.1038/s41534-025-01076-zopenalex-snapshot
Quantum frequency resampling
inferred← citeshttps://doi.org/10.1038/s41534-025-01088-9openalex-snapshot
Quantum key distribution as a quantum machine learning task
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QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation
inferred← citeshttps://doi.org/10.1038/s41567-025-02883-zopenalex-snapshot
Quantum neural networks form Gaussian processes
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Practical overview of image classification with tensor-network quantum circuits
inferred← citeshttps://doi.org/10.1038/s41598-023-45015-4openalex-snapshot
Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction
inferred← citeshttps://doi.org/10.1038/s41598-025-06359-1openalex-snapshot
Quantum-classical deep learning hybrid architecture with graphene-printed low-cost capacitive sensor for essential tremor detection
inferred← citeshttps://doi.org/10.1038/s41598-025-13417-1openalex-snapshot
Hybrid quantum-classical-quantum convolutional neural networks
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A quantum machine learning-based predictive analysis of CERN collision events
inferred← citeshttps://doi.org/10.1038/s41598-025-33825-7openalex-snapshot
A large scale statistical analysis of quantum and classical neural networks in the medical domain
inferred← citeshttps://doi.org/10.1038/s41598-025-95897-9openalex-snapshot
Entanglement detection with quantum support vector machine (QSVM) on near-term quantum devices
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Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data
inferred← citeshttps://doi.org/10.1038/s41598-026-54900-7openalex-snapshot
On the generalization limits of quantum generative adversarial networks with pure state generators
inferred← citeshttps://doi.org/10.1038/s41598-026-66035-wopenalex-snapshot
Noise-enhanced quantum kernels on analog quantum computers for estimating the non-Markovianity from sparse temporal data
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Advances in artificial intelligence and machine learning for quantum communication applications
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/10.1063/5.0179240openalex-snapshot
Quantum machine learning for demappers of low order modulations of 5G and beyond
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Quantum annealing for linear spectral unmixing: a proof-of-concept
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SAFE machine learning with variational quantum classifiers
inferred← citeshttps://doi.org/10.1088/1367-2630/ad2c3bopenalex-snapshot
Adaptive measurement strategy for quantum subspace methods
inferred← citeshttps://doi.org/10.1088/1402-4896/add58copenalex-snapshot
Unraveling the rodeo algorithm through the Zeeman model
inferred← citeshttps://doi.org/10.1088/1742-6596/3177/1/012076openalex-snapshot
Applying Quantum State Preparation Algorithms to Gravitational Wave Data Analysis
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ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: quantum computing in agricultural sciences: from theory to reality
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Tensor networks for quantum machine learning
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Tensor-programmable quantum circuits for solving differential equations
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Equivalence between exponential concentration in quantum machine learning kernels and barren plateaus in variational algorithms
inferred← citeshttps://doi.org/10.1103/891x-ltcyopenalex-snapshot
Entanglement and classical simulability in quantum extreme-learning machines
inferred← citeshttps://doi.org/10.1103/cn64-gs6bopenalex-snapshot
Double Descent in Quantum Kernel Methods
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Classical-quantum hybrid architecture for physics-informed neural networks
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Quantum curriculum learning
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Training the classification capability of large-scale quantum cellular automata
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Semidefinite Programming for Quantum Channel Learning
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Quantum-machine-learning channel discrimination
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Levy-Lieb embedding of density-functional theory and its quantum kernel: Illustration for the Hubbard dimer using near-term quantum algorithms
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Hybrid quantum learning with data reuploading on a small-scale superconducting quantum simulator
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Quantum density estimation with density matrices: Application to quantum anomaly detection
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Noisy intermediate-scale quantum computer–compatible error correction of quantum data using modified dissipative quantum neural networks
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Quantum-assisted Hilbert-space Gaussian process regression
inferred← citeshttps://doi.org/10.1103/physreva.109.062604openalex-snapshot
Variational protocols for emulating digital gates using analog control with always-on interactions
inferred← citeshttps://doi.org/10.1103/physreva.110.022406openalex-snapshot
Symmetry-guided gradient descent for quantum neural networks
inferred← citeshttps://doi.org/10.1103/physreva.110.022430openalex-snapshot
Solving constrained optimization problems via the variational quantum eigensolver with constraints
inferred← citeshttps://doi.org/10.1103/physreva.111.042416openalex-snapshot
Quantum variational autoencoder utilizing regularized mixed-state latent representations
inferred← citeshttps://doi.org/10.1103/physreva.111.052436openalex-snapshot
Supervised binary classification of small-scale digit images and weighted graphs with a trapped-ion quantum processor
inferred← citeshttps://doi.org/10.1103/physrevapplied.23.044024openalex-snapshot
Harnessing quantum extreme learning machines for image classification
inferred← citeshttps://doi.org/10.1103/physrevd.109.052002openalex-snapshot
Reconstructing charged particle track segments with a quantum-enhanced support vector machine
inferred← citeshttps://doi.org/10.1103/physrevd.111.016020openalex-snapshot
Jet discrimination with a quantum complete graph neural network
inferred← citeshttps://doi.org/10.1103/physrevresearch.5.043072openalex-snapshot
Modeling noncovalent interatomic interactions on a photonic quantum computer
inferred← citeshttps://doi.org/10.1103/physrevresearch.6.013211openalex-snapshot
Estimating many properties of a quantum state via quantum reservoir processing
inferred← citeshttps://doi.org/10.1103/physrevresearch.6.033198openalex-snapshot
Quantum inception score
inferred← citeshttps://doi.org/10.1103/physrevresearch.6.043326openalex-snapshot
Training robust and generalizable quantum models
inferred← citeshttps://doi.org/10.1103/physrevresearch.7.013082openalex-snapshot
Image classification with rotation-invariant variational quantum circuits
inferred← citeshttps://doi.org/10.1103/physrevresearch.7.013264openalex-snapshot
Quantum approximated cloning-assisted density matrix exponentiation
inferred← citeshttps://doi.org/10.1103/physrevresearch.7.023151openalex-snapshot
Learning Fourier series with parametrized quantum circuits
inferred← citeshttps://doi.org/10.1103/pkhd-pl3wopenalex-snapshot
Practical quantum reservoir computing in Rydberg atom arrays
inferred← citeshttps://doi.org/10.1103/prxquantum.3.030101openalex-snapshot
Is Quantum Advantage the Right Goal for Quantum Machine Learning?
inferred← citeshttps://doi.org/10.1103/prxquantum.5.010345openalex-snapshot
Quantum Simulation of the First-Quantized Pauli-Fierz Hamiltonian
inferred← citeshttps://doi.org/10.1103/qc91-5mj2openalex-snapshot
Accelerating feedback-based quantum algorithms through time rescaling
inferred← citeshttps://doi.org/10.1103/qccv-flmqopenalex-snapshot
Quantum Scrambling Born Machine
inferred← citeshttps://doi.org/10.1103/qgpq-6dmropenalex-snapshot
Subsampling factorization machine annealing
inferred← citeshttps://doi.org/10.1103/rph8-g15qopenalex-snapshot
Toward structure-preserving quantum encodings
inferred← citeshttps://doi.org/10.1103/rwkz-dc5zopenalex-snapshot
Information processing in quantum thermodynamic systems: An autonomous Hamiltonian approach
inferred← citeshttps://doi.org/10.1103/wp8q-lc5kopenalex-snapshot
Solving conic programs over sparse graphs using a variational quantum approach: The case of the AC optimal power flow
inferred← citeshttps://doi.org/10.1103/x6gh-d8ghopenalex-snapshot
Quantum linear system solvers: A survey of algorithms and applications
inferred← citeshttps://doi.org/10.1103/xphb-x2g4openalex-snapshot
Neural quantum kernels: Training quantum kernels with quantum neural networks
inferred← citeshttps://doi.org/10.1103/z33f-l4jgopenalex-snapshot
Quantum image encodings for noisy intermediate-scale quantum devices: A comprehensive performance and noise-resilience analysis
inferred← citeshttps://doi.org/10.1109/3dv69130.2026.00013openalex-snapshot
Quantum Multiple Rotation Averaging
inferred← citeshttps://doi.org/10.1109/acait56212.2022.10138000openalex-snapshot
Quantum Embeddings of Classical Data for Quantum Machine Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3289924openalex-snapshot
Quantum Computing to Study Cloud Turbulence Properties
inferred← citeshttps://doi.org/10.1109/access.2023.3335625openalex-snapshot
Variational Methods in Optical Quantum Machine Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3417808openalex-snapshot
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
inferred← citeshttps://doi.org/10.1109/access.2024.3432312openalex-snapshot
Evaluating the Computational Advantages of the Variational Quantum Circuit Model in Financial Fraud Detection
inferred← citeshttps://doi.org/10.1109/access.2025.3566207openalex-snapshot
Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication
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