{"total":32,"rows":[{"id":"2405.00781","title":"Barren Plateaus in Variational Quantum Computing","created":"2024-05-01","cited_by_count":133,"area":null},{"id":"2109.11676","title":"Theory of overparametrization in quantum neural networks","created":"2021-09-23","cited_by_count":100,"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":"2203.09376","title":"Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits","created":"2022-03-17","cited_by_count":43,"area":null},{"id":"2108.13421","title":"Recent advances for quantum classifiers","created":"2021-08-30","cited_by_count":35,"area":null},{"id":"2108.01039","title":"Quantum machine learning of large datasets using randomized measurements","created":"2021-08-02","cited_by_count":30,"area":null},{"id":"2301.01597","title":"Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification","created":"2022-12-29","cited_by_count":20,"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":"2104.14543","title":"Optimal training of variational quantum algorithms without barren plateaus","created":"2021-04-29","cited_by_count":16,"area":null},{"id":"2210.06723","title":"Stochastic noise can be helpful for variational quantum algorithms","created":"2022-10-13","cited_by_count":16,"area":null},{"id":"2206.02806","title":"Quantum Neural Network Classifiers: A Tutorial","created":"2022-06-06","cited_by_count":13,"area":null},{"id":"2511.15969","title":"A Primer on Quantum Machine Learning","created":"2025-11-20","cited_by_count":12,"area":null},{"id":"2309.11617","title":"Statistical Complexity of Quantum Learning","created":"2023-09-20","cited_by_count":11,"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":"2302.05059","title":"Effects of noise on the overparametrization of quantum neural networks","created":"2023-02-10","cited_by_count":9,"area":null},{"id":"2410.24058","title":"Natural gradient and parameter estimation for quantum Boltzmann machines","created":"2024-10-31","cited_by_count":9,"area":null},{"id":"2501.10077","title":"Double descent in quantum kernel methods","created":"2025-01-17","cited_by_count":9,"area":null},{"id":"2205.13539","title":"Mitigating barren plateaus of variational quantum eigensolvers","created":"2022-05-26","cited_by_count":8,"area":null},{"id":"2501.12776","title":"Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting","created":"2025-01-22","cited_by_count":5,"area":null},{"id":"2311.08990","title":"sQUlearn -- A Python Library for Quantum Machine Learning","created":"2023-11-15","cited_by_count":3,"area":null},{"id":"2102.12534","title":"Entanglement Diagnostics for Efficient Quantum Computation","created":"2021-02-24","cited_by_count":2,"area":null},{"id":"2203.00601","title":"Beyond Ans\\\"atze: Learning Quantum Circuits as Unitary Operators","created":"2022-03-01","cited_by_count":2,"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":"2501.05007","title":"Quantum-enhanced causal discovery for a small number of samples","created":"2025-01-09","cited_by_count":1,"area":null},{"id":"2404.18041","title":"Variational Optimization for Quantum Problems using Deep Generative Networks","created":"2024-04-28","cited_by_count":0,"area":null},{"id":"2502.10684","title":"A Fast Quantum Image Compression Algorithm based on Taylor Expansion","created":"2025-02-15","cited_by_count":0,"area":null},{"id":"2503.19002","title":"Quantum Complex-Valued Self-Attention Model","created":"2025-03-24","cited_by_count":0,"area":null},{"id":"2506.13865","title":"Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms","created":"2025-06-16","cited_by_count":0,"area":null},{"id":"2507.19402","title":"FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2603.03071","title":"From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2603.20024","title":"Layered Quantum Architecture Search for 3D Point Cloud Classification","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2609.33351","title":"QuPID: Quantum Parameter-Efficient Input-Dependent Retrieval Adaptation for Medical RAG","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}