| Shortcuts to adiabaticity in digitized adiabatic quantum computing NN Hegade, K Paul, Y Ding, M Sanz, F Albarrán-Arriagada, E Solano, ... Physical Review Applied 15 (2), 024038, 2021 | 108 | 2021 |
| Experimental implementation of a quantum autoencoder via quantum adders Y Ding, L Lamata, M Sanz, X Chen, E Solano Advanced Quantum Technologies 2 (7-8), 1800065, 2019 | 47 | 2019 |
| Breaking adiabatic quantum control with deep learning Y Ding, Y Ban, JD Martín-Guerrero, E Solano, J Casanova, X Chen Physical Review A 103 (4), L040401, 2021 | 45 | 2021 |
| Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design Y Ding, X Chen, L Lamata, E Solano, M Sanz SN Computer Science 2, 68, 2021 | 43* | 2021 |
| Toward prediction of financial crashes with a d-wave quantum annealer Y Ding, J Gonzalez-Conde, L Lamata, JD Martín-Guerrero, E Lizaso, ... Entropy 25 (2), 323, 2023 | 38 | 2023 |
| Experimentally realizing efficient quantum control with reinforcement learning MZ Ai, Y Ding, Y Ban, JD Martín-Guerrero, J Casanova, JM Cui, YF Huang, ... Science China Physics, Mechanics & Astronomy 65 (5), 250312, 2022 | 28 | 2022 |
| Smooth bang-bang shortcuts to adiabaticity for atomic transport in a moving harmonic trap Y Ding, TY Huang, K Paul, M Hao, X Chen Physical Review A 101 (6), 063410, 2020 | 22 | 2020 |
| Retrieving quantum information with active learning Y Ding, JD Martín-Guerrero, M Sanz, R Magdalena-Benedicto, X Chen, ... Physical review letters 124 (14), 140504, 2020 | 21 | 2020 |
| Neural-network-based parameter estimation for quantum detection Y Ban, J Echanobe, Y Ding, R Puebla, J Casanova Quantum Science and Technology 6 (4), 045012, 2021 | 18 | 2021 |
| Closed-loop control of a noisy qubit with reinforcement learning Y Ding, X Chen, R Magdalena-Benedito, JD Martín-Guerrero Machine Learning: Science and Technology 4 (2), 025020, 2023 | 8* | 2023 |
| Time-optimal control of driven oscillators by variational circuit learning T Huang, Y Ding, L Dupays, Y Ban, MH Yung, A del Campo, X Chen Physical Review Research 5 (2), 023173, 2023 | 5 | 2023 |
| Active learning for the optimal design of multinomial classification in physics Y Ding, JD Martín-Guerrero, Y Song, R Magdalena-Benedicto, X Chen Physical Review Research 4 (1), 013213, 2022 | 4 | 2022 |
| Digital quantum simulation of nonadiabatic geometric gates via shortcuts to adiabaticity Y Wang, Y Ding, J Wang, X Chen Entropy 22 (10), 1175, 2020 | 3 | 2020 |
| Towards quantum control with advanced quantum computing: A perspective Y Ding, Y Ban, X Chen Entropy 24 (12), 1743, 2022 | 2 | 2022 |
| Quantum Active Learning Y Ding, Y Ban, M Sanz, JD Martín-Guerrero, X Chen arXiv preprint arXiv:2405.18230, 2024 | 1 | 2024 |
| Exploring Ground States of Fermi-Hubbard Model on Honeycomb Lattices with Counterdiabaticity J Tang, R Xu, Y Ding, X Xu, Y Ban, M Yung, A Pérez-Obiol, G Platero, ... arXiv preprint arXiv:2405.09225, 2024 | 1 | 2024 |
| Active Learning in Physics: From 101, to Progress, and Perspective Y Ding, JD Martín‐Guerrero, Y Vives‐Gilabert, X Chen Advanced Quantum Technologies, 2300208, 2023 | 1 | 2023 |
| Superoscillating Quantum Control Induced By Sequential Selections Y Ding, Y Pan, X Chen arXiv preprint arXiv:2305.04303, 2023 | 1 | 2023 |
| Pulse-based variational quantum optimization and metalearning in superconducting circuits Y Wang, Y Ding, FA Cárdenas-López, X Chen Physical Review Applied 22 (2), 024009, 2024 | | 2024 |
| Weak-valued correlation functions: Insights and precise readout strategies Y Feng, X Chen, Y Ding Physical Review A 109 (5), 052210, 2024 | | 2024 |
Xi ChenInstituto de Ciencia de Materiales de Madrid (ICMM-CSIC)在 csic.es 的电子邮件经过验证
