{"total":15,"rows":[{"id":"2405.00781","title":"Barren Plateaus in Variational Quantum Computing","created":"2024-05-01","cited_by_count":133,"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":"2302.06584","title":"Thermodynamic AI and the fluctuation frontier","created":"2023-02-09","cited_by_count":15,"area":null},{"id":"2211.12711","title":"SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture","created":"2022-11-23","cited_by_count":7,"area":null},{"id":"2410.19921","title":"Method for noise-induced regularization in quantum neural networks","created":"2024-10-25","cited_by_count":7,"area":null},{"id":"2311.14057","title":"Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis","created":"2023-11-23","cited_by_count":3,"area":null},{"id":"2403.15031","title":"Image Classification with Rotation-Invariant Variational Quantum Circuits","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2405.01606","title":"Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies","created":"2024-05-02","cited_by_count":2,"area":null},{"id":"2603.14451","title":"How to find expressible and trainable parameterized quantum circuits?","created":"2026-03-15","cited_by_count":2,"area":null},{"id":"2511.22861","title":"Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2605.20222","title":"Quantum End-to-End Learning for Contextual Combinatorial Optimization","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2307.03884","title":"Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization","created":"2023-07-08","cited_by_count":0,"area":null},{"id":"2606.12054","title":"Simplicity Suffices for Parameter Noise Injection in Stochastic Gradient Descent","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2608.05110","title":"Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.24229","title":"A Theory of Finite-Noise Optima and Generalization in Quantum Machine Learning","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}