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Yongcheng Ding
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Cited by
Year
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
1712021
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
63*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
612019
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
572021
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
472023
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
432022
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
282020
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
242020
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
222021
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
15*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
102023
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
92024
Exploring ground states of Fermi-Hubbard model on honeycomb lattices with counterdiabaticity
J Tang, R Xu, Y Ding, X Xu, Y Ban, MH Yung, A Pérez-Obiol, G Platero, ...
npj Quantum Materials 9 (1), 87, 2024
72024
Active learning in physics: From 101, to progress, and perspective
Y Ding, JD Martín‐Guerrero, Y Vives‐Gilabert, X Chen
Advanced Quantum Technologies 8 (12), 2300208, 2025
52025
Quantum active learning
Y Ding, Y Ban, M Sanz, JD Martín-Guerrero, X Chen
Physical Review A 112 (1), 012409, 2025
52025
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
52022
Scrambling in the charging of quantum batteries
SV Romero, Y Ding, X Chen, Y Ban
Journal of High Energy Physics 2025 (5), 1-14, 2025
42025
Towards quantum control with advanced quantum computing: A perspective
Y Ding, Y Ban, X Chen
Entropy 24 (12), 1743, 2022
42022
Digital quantum simulation of nonadiabatic geometric gates via shortcuts to adiabaticity
Y Wang, Y Ding, J Wang, X Chen
Entropy 22 (10), 1175, 2020
32020
Robust two-qubit gate with reinforcement learning and dropout
TN Xu, Y Ding, JD Martín-Guerrero, X Chen
Physical Review A 110 (3), 032614, 2024
2*2024
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Articles 1–20