{"total":314,"rows":[{"id":"2111.05292","title":"Generalization in quantum machine learning from few training data","created":"2021-11-09","cited_by_count":216,"area":null},{"id":"2303.09491","title":"Challenges and Opportunities in Quantum Machine Learning","created":"2023-03-16","cited_by_count":203,"area":null},{"id":"2112.00778","title":"Quantum advantage in learning from experiments","created":"2021-12-01","cited_by_count":188,"area":null},{"id":"2101.02138","title":"Connecting ansatz expressibility to gradient magnitudes and barren plateaus","created":"2021-01-06","cited_by_count":180,"area":null},{"id":"2405.00781","title":"Barren Plateaus in Variational Quantum Computing","created":"2024-05-01","cited_by_count":133,"area":null},{"id":"2101.02464","title":"Information-theoretic bounds on quantum advantage in machine learning","created":"2021-01-07","cited_by_count":96,"area":null},{"id":"2110.13162","title":"Quantum machine learning beyond kernel methods","created":"2021-10-25","cited_by_count":92,"area":null},{"id":"2208.11060","title":"Exponential concentration in quantum kernel methods","created":"2022-08-23","cited_by_count":90,"area":null},{"id":"2106.03880","title":"Encoding-dependent generalization bounds for parametrized quantum circuits","created":"2021-06-07","cited_by_count":82,"area":null},{"id":"2312.09121","title":"Does provable absence of barren plateaus imply classical simulability?","created":"2023-12-14","cited_by_count":80,"area":null},{"id":"2101.08448","title":"Noisy intermediate-scale quantum (NISQ) algorithms","created":"2021-01-21","cited_by_count":79,"area":null},{"id":"2210.08566","title":"Theory for Equivariant Quantum Neural Networks","created":"2022-10-16","cited_by_count":62,"area":null},{"id":"2205.02261","title":"Group-Invariant Quantum Machine Learning","created":"2022-05-04","cited_by_count":56,"area":null},{"id":"2210.09974","title":"Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks","created":"2022-10-18","cited_by_count":52,"area":null},{"id":"2204.10268","title":"Out-of-distribution generalization for learning quantum dynamics","created":"2022-04-21","cited_by_count":49,"area":null},{"id":"2306.13461","title":"Understanding quantum machine learning also requires rethinking generalization","created":"2023-06-23","cited_by_count":49,"area":null},{"id":"2209.08167","title":"Quantum Vision Transformers","created":"2022-09-16","cited_by_count":48,"area":null},{"id":"2103.08403","title":"Quantum federated learning through blind quantum computing","created":"2021-03-15","cited_by_count":44,"area":null},{"id":"2103.16774","title":"Towards understanding the power of quantum kernels in the NISQ era","created":"2021-03-31","cited_by_count":43,"area":null},{"id":"2101.08354","title":"Enhancing Generative Models via Quantum Correlations","created":"2021-01-20","cited_by_count":41,"area":null},{"id":"2111.04225","title":"Representation Learning via Quantum Neural Tangent Kernels","created":"2021-11-08","cited_by_count":40,"area":null},{"id":"2204.01738","title":"Experimental quantum adversarial learning with programmable superconducting qubits","created":"2022-04-04","cited_by_count":39,"area":null},{"id":"2206.11740","title":"Classical surrogates for quantum learning models","created":"2022-06-23","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":"2305.02881","title":"Trainability barriers and opportunities in quantum generative modeling","created":"2023-05-04","cited_by_count":36,"area":null},{"id":"2210.14894","title":"Learning to predict arbitrary quantum processes","created":"2022-10-26","cited_by_count":35,"area":null},{"id":"2110.14753","title":"Subtleties in the trainability of quantum machine learning models","created":"2021-10-27","cited_by_count":33,"area":null},{"id":"2201.04093","title":"Systematic Literature Review: Quantum Machine Learning and its applications","created":"2022-01-11","cited_by_count":32,"area":null},{"id":"2303.03428","title":"Towards provably efficient quantum algorithms for large-scale machine-learning models","created":"2023-03-06","cited_by_count":32,"area":null},{"id":"2306.00061","title":"Shadows of quantum machine learning","created":"2023-05-31","cited_by_count":31,"area":null},{"id":"2312.14190","title":"Machine Learning for Anomaly Detection in Particle Physics","created":"2023-12-20","cited_by_count":30,"area":null},{"id":"2112.07611","title":"Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans\\\"atze","created":"2021-12-14","cited_by_count":29,"area":null},{"id":"2211.12681","title":"Benchmarking Adversarially Robust Quantum Machine Learning at Scale","created":"2022-11-23","cited_by_count":29,"area":null},{"id":"2105.12626","title":"Automatic design of quantum feature maps","created":"2021-05-26","cited_by_count":28,"area":null},{"id":"2207.05865","title":"Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines","created":"2022-07-12","cited_by_count":28,"area":null},{"id":"2306.12688","title":"Towards quantum enhanced adversarial robustness in machine learning","created":"2023-06-22","cited_by_count":28,"area":null},{"id":"2206.04804","title":"Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression","created":"2022-06-08","cited_by_count":26,"area":null},{"id":"2211.05777","title":"Hybrid quantum neural network for drug response prediction","created":"2022-11-10","cited_by_count":26,"area":null},{"id":"2101.06154","title":"On the statistical complexity of quantum circuits","created":"2021-01-15","cited_by_count":25,"area":null},{"id":"2405.19495","title":"Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code","created":"2024-05-29","cited_by_count":25,"area":null},{"id":"2203.00031","title":"The complexity of quantum support vector machines","created":"2022-02-28","cited_by_count":23,"area":null},{"id":"2409.04406","title":"Quantum Kernel Methods under Scrutiny: A Benchmarking Study","created":"2024-09-06","cited_by_count":22,"area":null},{"id":"2203.16711","title":"Analytic theory for the dynamics of wide quantum neural networks","created":"2022-03-30","cited_by_count":21,"area":null},{"id":"2301.10780","title":"Quantum anomaly detection in the latent space of proton collision events at the LHC","created":"2023-01-25","cited_by_count":21,"area":null},{"id":"2306.15552","title":"A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms","created":"2023-06-27","cited_by_count":21,"area":null},{"id":"2309.17368","title":"Machine Learning for Practical Quantum Error Mitigation","created":"2023-09-29","cited_by_count":20,"area":null},{"id":"2110.06933","title":"Style-based quantum generative adversarial networks for Monte Carlo events","created":"2021-10-13","cited_by_count":19,"area":null},{"id":"2203.01889","title":"Quantum Reinforcement Learning via Policy Iteration","created":"2022-03-03","cited_by_count":19,"area":null},{"id":"2204.04017","title":"Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage","created":"2022-04-08","cited_by_count":18,"area":null},{"id":"2211.00887","title":"Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise","created":"2022-11-02","cited_by_count":18,"area":null},{"id":"2211.15631","title":"Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms","created":"2022-11-28","cited_by_count":18,"area":null},{"id":"2404.02595","title":"QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection","created":"2024-04-03","cited_by_count":18,"area":null},{"id":"2301.09138","title":"Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning","created":"2023-01-22","cited_by_count":17,"area":null},{"id":"2412.08851","title":"Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting","created":"2024-12-12","cited_by_count":17,"area":null},{"id":"2203.15368","title":"Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning","created":"2022-03-29","cited_by_count":16,"area":null},{"id":"2103.06712","title":"A semi-agnostic ansatz with variable structure for quantum machine learning","created":"2021-03-11","cited_by_count":15,"area":null},{"id":"2209.00768","title":"Non-IID Quantum Federated Learning with One-shot Communication Complexity","created":"2022-09-02","cited_by_count":15,"area":null},{"id":"2310.17032","title":"Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting","created":"2023-10-25","cited_by_count":15,"area":null},{"id":"2311.02402","title":"Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis","created":"2023-11-04","cited_by_count":15,"area":null},{"id":"2312.14309","title":"Federated Quantum Long Short-term Memory (FedQLSTM)","created":"2023-12-21","cited_by_count":15,"area":null},{"id":"2304.09899","title":"Quantum Kernel Alignment with Stochastic Gradient Descent","created":"2023-04-19","cited_by_count":14,"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":"2206.02806","title":"Quantum Neural Network Classifiers: A Tutorial","created":"2022-06-06","cited_by_count":13,"area":null},{"id":"2207.00378","title":"Rapid training of quantum recurrent neural networks","created":"2022-07-01","cited_by_count":13,"area":null},{"id":"2211.07056","title":"An Invitation to Distributed Quantum Neural Networks","created":"2022-11-14","cited_by_count":13,"area":null},{"id":"2211.08737","title":"Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation","created":"2022-11-16","cited_by_count":13,"area":null},{"id":"2308.11098","title":"On the Interpretability of Quantum Neural Networks","created":"2023-08-22","cited_by_count":13,"area":null},{"id":"2305.09957","title":"Quantum neural networks form Gaussian processes","created":"2023-05-17","cited_by_count":12,"area":null},{"id":"2401.09393","title":"\\'Eliv\\'agar: Efficient Quantum Circuit Search for Classification","created":"2024-01-17","cited_by_count":12,"area":null},{"id":"2410.09250","title":"Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection","created":"2024-10-11","cited_by_count":12,"area":null},{"id":"2102.08991","title":"Generalization in Quantum Machine Learning: a Quantum Information Perspective","created":"2021-02-17","cited_by_count":11,"area":null},{"id":"2107.05224","title":"Fock State-enhanced Expressivity of Quantum Machine Learning Models","created":"2021-07-12","cited_by_count":11,"area":null},{"id":"2211.16551","title":"Numerical evidence against advantage with quantum fidelity kernels on classical data","created":"2022-11-29","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":"2405.19722","title":"QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering","created":"2024-05-30","cited_by_count":11,"area":null},{"id":"2411.13225","title":"Quantum Kernel-Based Long Short-term Memory","created":"2024-11-20","cited_by_count":11,"area":null},{"id":"2108.03190","title":"Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series","created":"2021-08-06","cited_by_count":10,"area":null},{"id":"2108.11644","title":"Hybrid quantum-classical machine learning for generative chemistry and drug design","created":"2021-08-26","cited_by_count":10,"area":null},{"id":"2201.03700","title":"Quantum activation functions for quantum neural networks","created":"2022-01-10","cited_by_count":10,"area":null},{"id":"2209.05142","title":"The role of entanglement for enhancing the efficiency of quantum kernels towards classification","created":"2022-09-12","cited_by_count":10,"area":null},{"id":"2303.13462","title":"Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric","created":"2023-03-23","cited_by_count":10,"area":null},{"id":"2306.07331","title":"Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data","created":"2023-06-12","cited_by_count":10,"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":"2205.11446","title":"Overfitting in quantum machine learning and entangling dropout","created":"2022-05-23","cited_by_count":9,"area":null},{"id":"2210.14936","title":"A super-polynomial quantum-classical separation for density modelling","created":"2022-10-26","cited_by_count":9,"area":null},{"id":"2301.10787","title":"Unravelling physics beyond the standard model with classical and quantum anomaly detection","created":"2023-01-25","cited_by_count":9,"area":null},{"id":"2302.05059","title":"Effects of noise on the overparametrization of quantum neural networks","created":"2023-02-10","cited_by_count":9,"area":null},{"id":"2304.12923","title":"Quantum Gaussian Process Regression for Bayesian Optimization","created":"2023-04-25","cited_by_count":9,"area":null},{"id":"2405.10360","title":"Adversarial Robustness Guarantees for Quantum Classifiers","created":"2024-05-16","cited_by_count":9,"area":null},{"id":"2412.03158","title":"LEP-QNN: Loan Eligibility Prediction using Quantum Neural Networks","created":"2024-12-04","cited_by_count":9,"area":null},{"id":"2205.04127","title":"Quantum neural network autoencoder and classifier applied to an industrial case study","created":"2022-05-09","cited_by_count":8,"area":null},{"id":"2310.05307","title":"Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection","created":"2023-10-08","cited_by_count":8,"area":null},{"id":"2404.06314","title":"Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks","created":"2024-04-09","cited_by_count":8,"area":null},{"id":"2406.18316","title":"Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks","created":"2024-06-26","cited_by_count":8,"area":null},{"id":"2504.16350","title":"QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits","created":"2025-04-23","cited_by_count":8,"area":null},{"id":"2506.20008","title":"QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges","created":"2025-06-24","cited_by_count":8,"area":null},{"id":"2507.08217","title":"Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach","created":"2025-07-10","cited_by_count":8,"area":null},{"id":"2507.12492","title":"Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise","created":"2025-07-15","cited_by_count":8,"area":null}],"next_cursor":"100"}