{"total":95,"rows":[{"id":"2101.08448","title":"Noisy intermediate-scale quantum (NISQ) algorithms","created":"2021-01-21","cited_by_count":79,"area":null},{"id":"2206.03066","title":"Recent Advances for Quantum Neural Networks in Generative Learning","created":"2022-06-07","cited_by_count":39,"area":null},{"id":"2311.10375","title":"Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy","created":"2023-11-17","cited_by_count":39,"area":null},{"id":"2109.09484","title":"On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification","created":"2021-09-20","cited_by_count":33,"area":null},{"id":"2401.11351","title":"A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance","created":"2024-01-21","cited_by_count":32,"area":null},{"id":"2310.10315","title":"A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead","created":"2023-10-16","cited_by_count":29,"area":null},{"id":"2101.06154","title":"On the statistical complexity of quantum circuits","created":"2021-01-15","cited_by_count":25,"area":null},{"id":"2306.14969","title":"On the Sample Complexity of Quantum Boltzmann Machine Learning","created":"2023-06-26","cited_by_count":19,"area":null},{"id":"2103.06720","title":"Variational inference with a quantum computer","created":"2021-03-11","cited_by_count":18,"area":null},{"id":"2206.08273","title":"Concentration of Data Encoding in Parameterized Quantum Circuits","created":"2022-06-16","cited_by_count":15,"area":null},{"id":"2208.07963","title":"Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection","created":"2022-08-16","cited_by_count":15,"area":null},{"id":"2410.07961","title":"QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design","created":"2024-10-10","cited_by_count":15,"area":null},{"id":"2307.00908","title":"Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications","created":"2023-07-03","cited_by_count":14,"area":null},{"id":"2201.01820","title":"A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification","created":"2022-01-05","cited_by_count":11,"area":null},{"id":"2309.11617","title":"Statistical Complexity of Quantum Learning","created":"2023-09-20","cited_by_count":11,"area":null},{"id":"2405.19725","title":"Quantum Visual Feature Encoding Revisited","created":"2024-05-30","cited_by_count":10,"area":null},{"id":"2406.00843","title":"Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits","created":"2024-06-02","cited_by_count":10,"area":null},{"id":"2503.15403","title":"HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction","created":"2025-03-19","cited_by_count":10,"area":null},{"id":"2509.14026","title":"Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks","created":"2025-09-17","cited_by_count":10,"area":null},{"id":"2102.03282","title":"Effects of quantum resources on the statistical complexity of quantum circuits","created":"2021-02-05","cited_by_count":9,"area":null},{"id":"2503.16678","title":"QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs","created":"2025-03-20","cited_by_count":9,"area":null},{"id":"2107.03313","title":"A Leap among Quantum Computing and Quantum Neural Networks: A Survey","created":"2021-07-06","cited_by_count":8,"area":null},{"id":"2202.10471","title":"Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data","created":"2022-02-21","cited_by_count":7,"area":null},{"id":"2308.00583","title":"Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel","created":"2023-08-01","cited_by_count":6,"area":null},{"id":"2505.23860","title":"Quantum computing and artificial intelligence: status and perspectives","created":"2025-05-29","cited_by_count":6,"area":null},{"id":"2106.02496","title":"Quantum Perceptron Revisited: Computational-Statistical Tradeoffs","created":"2021-06-04","cited_by_count":5,"area":null},{"id":"2301.11936","title":"Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation","created":"2023-01-27","cited_by_count":5,"area":null},{"id":"2306.03481","title":"Transition Role of Entangled Data in Quantum Machine Learning","created":"2023-06-06","cited_by_count":5,"area":null},{"id":"2307.09771","title":"A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices","created":"2023-07-19","cited_by_count":5,"area":null},{"id":"2106.09028","title":"Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning","created":"2021-06-16","cited_by_count":4,"area":null},{"id":"2303.05428","title":"Quantum Splines for Non-Linear Approximations","created":"2023-03-09","cited_by_count":4,"area":null},{"id":"2306.08060","title":"Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms","created":"2023-05-31","cited_by_count":4,"area":null},{"id":"2410.03094","title":"Entanglement-induced provable and robust quantum learning advantages","created":"2024-10-04","cited_by_count":4,"area":null},{"id":"2502.08576","title":"Mapping the Landscape of Generative AI in Network Monitoring and Management","created":"2025-02-12","cited_by_count":4,"area":null},{"id":"2503.01884","title":"Contextual Quantum Neural Networks for Stock Price Prediction","created":"2025-02-26","cited_by_count":4,"area":null},{"id":"2102.04823","title":"Facial Expression Recognition on a Quantum Computer","created":"2021-02-09","cited_by_count":3,"area":null},{"id":"2108.12926","title":"Photonic Quantum Policy Learning in OpenAI Gym","created":"2021-08-29","cited_by_count":3,"area":null},{"id":"2301.06217","title":"Analogy between Boltzmann machines and Feynman path integrals","created":"2023-01-15","cited_by_count":3,"area":null},{"id":"2301.08544","title":"Multi-Armed Bandits and Quantum Channel Oracles","created":"2023-01-20","cited_by_count":3,"area":null},{"id":"2405.00770","title":"Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises","created":"2024-05-01","cited_by_count":3,"area":null},{"id":"2407.17161","title":"Quantum Supervised Learning","created":"2024-07-24","cited_by_count":3,"area":null},{"id":"2501.12737","title":"Stability and Generalization of Quantum Neural Networks","created":"2025-01-22","cited_by_count":3,"area":null},{"id":"2505.08474","title":"Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing","created":"2025-05-13","cited_by_count":3,"area":null},{"id":"2508.00768","title":"Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy","created":"2025-08-01","cited_by_count":3,"area":null},{"id":"2102.04579","title":"Quantum machine learning with adaptive linear optics","created":"2021-02-08","cited_by_count":2,"area":null},{"id":"2112.05261","title":"Equivariant Quantum Graph Circuits","created":"2021-12-10","cited_by_count":2,"area":null},{"id":"2301.03251","title":"VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum","created":"2023-01-09","cited_by_count":2,"area":null},{"id":"2312.07821","title":"Radio Signal Classification by Adversarially Robust Quantum Machine Learning","created":"2023-12-13","cited_by_count":2,"area":null},{"id":"2404.07330","title":"A Modified Depolarization Approach for Efficient Quantum Machine Learning","created":"2024-04-10","cited_by_count":2,"area":null},{"id":"2405.00755","title":"Quantum AI for Alzheimer's disease early screening","created":"2024-05-01","cited_by_count":2,"area":null},{"id":"2407.12506","title":"Classification and reconstruction for single-pixel imaging with classical and quantum neural networks","created":"2024-07-17","cited_by_count":2,"area":null},{"id":"2408.03351","title":"Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach","created":"2024-08-05","cited_by_count":2,"area":null},{"id":"2503.17020","title":"Benign Overfitting with Quantum Kernels","created":"2025-03-21","cited_by_count":2,"area":null},{"id":"2504.12389","title":"Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks","created":"2025-04-16","cited_by_count":2,"area":null},{"id":"2505.22502","title":"Assessing Quantum Advantage for Gaussian Process Regression","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2508.18161","title":"Hybrid Quantum-Classical Learning for Multiclass Image Classification","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2112.06587","title":"An Introduction to Quantum Computing for Statisticians and Data Scientists","created":"2021-12-13","cited_by_count":1,"area":null},{"id":"2208.08273","title":"Quantum Machine Learning for Material Synthesis and Hardware Security","created":"2022-08-16","cited_by_count":1,"area":null},{"id":"2401.11694","title":"Parametric Matrix Models","created":"2024-01-22","cited_by_count":1,"area":null},{"id":"2405.07226","title":"Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem","created":"2024-05-12","cited_by_count":1,"area":null},{"id":"2405.16368","title":"Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection","created":"2024-05-25","cited_by_count":1,"area":null},{"id":"2407.09930","title":"Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application","created":"2024-07-13","cited_by_count":1,"area":null},{"id":"2410.16331","title":"Exploring Quantum Neural Networks for Demand Forecasting","created":"2024-10-19","cited_by_count":1,"area":null},{"id":"2412.11451","title":"Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2412.21082","title":"Quantum Diffusion Model for Quark and Gluon Jet Generation","created":"2024-12-30","cited_by_count":1,"area":"diffusion"},{"id":"2501.04690","title":"Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study","created":"2025-01-08","cited_by_count":1,"area":null},{"id":"2503.24111","title":"Inductive Graph Representation Learning with Quantum Graph Neural Networks","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2506.03779","title":"Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential","created":"2025-06-04","cited_by_count":1,"area":null},{"id":"2507.21569","title":"Structured quantum learning via em algorithm for Boltzmann machines","created":"2025-07-29","cited_by_count":1,"area":null},{"id":"2509.09176","title":"Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading","created":"2025-09-11","cited_by_count":1,"area":"deeprl"},{"id":"2511.19246","title":"Neural Architecture Search for Quantum Autoencoders","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2112.06841","title":"Information-Theoretic Limits of Quantum Learning via Data Compression","created":"2021-12-13","cited_by_count":0,"area":null},{"id":"2211.03418","title":"A Quantum-Powered Photorealistic Rendering","created":"2022-11-07","cited_by_count":0,"area":null},{"id":"2305.07374","title":"Implications of Deep Circuits in Improving Quality of Quantum Question Answering","created":"2023-05-12","cited_by_count":0,"area":null},{"id":"2305.09738","title":"CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine Learning","created":"2023-05-16","cited_by_count":0,"area":null},{"id":"2310.10910","title":"Machine Learning in the Quantum Age: Quantum vs. Classical Support Vector Machines","created":"2023-10-17","cited_by_count":0,"area":null},{"id":"2311.08502","title":"Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE","created":"2023-11-14","cited_by_count":0,"area":null},{"id":"2406.06764","title":"$Classi|Q\\rangle$ Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2408.11207","title":"Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2408.13479","title":"Quantum-machine-assisted Drug Discovery","created":"2024-08-24","cited_by_count":0,"area":null},{"id":"2501.04831","title":"Quantum Hybrid Support Vector Machines for Stress Detection in Older Adults","created":"2025-01-08","cited_by_count":0,"area":null},{"id":"2504.07726","title":"Quantum Machine Learning: Unveiling Trends, Impacts through Bibliometric Analysis","created":"2025-04-10","cited_by_count":0,"area":null},{"id":"2504.20823","title":"Hybrid quantum recurrent neural network for remaining useful life prediction of turbofan engines","created":"2025-04-29","cited_by_count":0,"area":null},{"id":"2505.16672","title":"Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2505.24765","title":"Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications","created":"2025-05-30","cited_by_count":0,"area":null},{"id":"2506.13987","title":"Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems","created":"2025-06-16","cited_by_count":0,"area":null},{"id":"2506.19275","title":"A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning","created":"2025-06-24","cited_by_count":0,"area":null},{"id":"2506.24081","title":"SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks","created":"2025-06-30","cited_by_count":0,"area":null},{"id":"2512.16960","title":"QSMOTE-PGM/kPGM: QSMOTE Based PGM and kPGM for Imbalanced Dataset Classification","created":"2025-12-18","cited_by_count":0,"area":null},{"id":"2601.00873","title":"Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2603.00417","title":"Physics-Aware Learnability: From Set-Theoretic Independence to Operational Constraints","created":"2026-02-28","cited_by_count":0,"area":null},{"id":"2604.13951","title":"Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2609.05952","title":"QGB-W$k$NN: Quantum Granular-Ball Learning for Robust Classification","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2609.10729","title":"A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.17358","title":"Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}