{"total":23,"rows":[{"id":"2307.12904","title":"Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs","created":"2023-07-24","cited_by_count":16,"area":null},{"id":"2103.13973","title":"Learning Temporal Quantum Tomography","created":"2021-03-25","cited_by_count":9,"area":null},{"id":"2407.04717","title":"Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective","created":"2024-06-14","cited_by_count":9,"area":null},{"id":"2304.00490","title":"Infinite-dimensional reservoir computing","created":"2023-04-02","cited_by_count":7,"area":null},{"id":"2403.02686","title":"Extending echo state property for quantum reservoir computing","created":"2024-03-05","cited_by_count":7,"area":null},{"id":"2301.08173","title":"Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating","created":"2023-01-19","cited_by_count":5,"area":null},{"id":"2506.16332","title":"Feedback-driven recurrent quantum neural network universality","created":"2025-06-19","cited_by_count":5,"area":null},{"id":"2108.08001","title":"Nonlinear Autoregression with Convergent Dynamics on Novel Computational Platforms","created":"2021-08-18","cited_by_count":3,"area":null},{"id":"2505.10080","title":"Role of scrambling and noise in temporal information processing with quantum systems","created":"2025-05-15","cited_by_count":3,"area":null},{"id":"2207.07924","title":"Quantum Noise-Induced Reservoir Computing","created":"2022-07-16","cited_by_count":2,"area":null},{"id":"2209.00497","title":"Quantum-Classical Hybrid Information Processing via a Single Quantum System","created":"2022-09-01","cited_by_count":2,"area":null},{"id":"2312.15141","title":"Improving the Performance of Echo State Networks Through State Feedback","created":"2023-12-23","cited_by_count":2,"area":null},{"id":"2501.08640","title":"Quantum Reservoir Computing and Risk Bounds","created":"2025-01-15","cited_by_count":2,"area":null},{"id":"2406.16659","title":"Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2602.13531","title":"QuaRK: A Quantum Reservoir Kernel for Time Series Learning","created":"2026-02-14","cited_by_count":1,"area":null},{"id":"2602.18377","title":"Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach","created":"2026-02-20","cited_by_count":1,"area":null},{"id":"2505.06799","title":"Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks","created":"2025-05-11","cited_by_count":0,"area":null},{"id":"2507.15779","title":"Reservoir Computing as a Language Model","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2508.15451","title":"A Solvable Molecular Switch Model for Stable Temporal Information Processing","created":"2025-08-21","cited_by_count":0,"area":null},{"id":"2510.00171","title":"Quantum reservoir computing in Jaynes-Cummings models: Nonlinear memory and time-series prediction","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2604.03469","title":"Recurrent Quantum Feature Maps for Reservoir Computing","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2607.18552","title":"Quantum Reservoir Computing: Recent Advances and Future Directions","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2609.29570","title":"Task-Resolved Fisher Spectroscopy for Quantum Reservoir Computing","created":"2026-08-26","cited_by_count":0,"area":null}],"next_cursor":null}