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Ya-Dong Wu
Ya-Dong Wu
Verified email at sjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Continuous-variable measurement-device-independent multipartite quantum communication
Y Wu, J Zhou, X Gong, Y Guo, ZM Zhang, G He
Physical Review A 93 (2), 022325, 2016
1012016
Flexible Learning of Quantum States with Generative Query Neural Networks
Y Zhu, YD Wu, G Bai, DS Wang, Y Wang, G Chiribella
Nature Communications 13, 6222, 2022
272022
Randomized benchmarking for qudit Clifford gates
M Jafarzadeh, YD Wu, YR Sanders, BC Sanders
New Journal of Physics 22 (6), 063014, 2020
212020
Relativistic (2,3)-threshold quantum secret sharing
M Ahmadi, YD Wu, BC Sanders
Physical Review D 96 (6), 065018, 2017
172017
Quantum secret sharing with continuous variable graph state
Y Wu, R Cai, G He, J Zhang
Quantum information processing 13 (5), 1085-1102, 2014
172014
Efficient Verification of Continuous-Variable Quantum States and Devices without Assuming Identical and Independent Operations
YD Wu, G Bai, G Chiribella, N Liu
Physical Review Letters 126 (24), 240503, 2021
152021
Efficient verification of bosonic quantum channels via benchmarking
YD Wu, BC Sanders
New Journal of Physics 21 (7), 073026, 2019
122019
Quantum causal unravelling
G Bai, YD Wu, Y Zhu, M Hayashi, G Chiribella
npj Quantum Information 8 (1), 69, 2022
112022
Quantum Similarity Testing with Convolutional Neural Networks
YD Wu, Y Zhu, G Bai, Y Wang, G Chiribella
Physical Review Letters 130 (21), 210601, 2023
92023
Efficient code for relativistic quantum summoning
YD Wu, A Khalid, BC Sanders
New Journal of Physics 20 (6), 063052, 2018
92018
Efficient algorithms for causal order discovery in quantum networks
G Bai, YD Wu, Y Zhu, M Hayashi, G Chiribella
arXiv preprint arXiv:2012.01731, 2020
62020
Quantum-Enhanced Learning of Continuous-Variable Quantum States
YD Wu, G Chiribella, N Liu
arXiv:2303.05097, 2023
52023
Multiple uncertainty relation for accelerated quantum information
C Qian, YD Wu, JW Ji, Y Xiao, BC Sanders
Physical Review D 102 (9), 096009, 2020
42020
Predictive modelling of quantum process with neural networks
Y Zhu, YD Wu, Q Liu, Y Wang, G Chiribella
arXiv preprint arXiv:2308.08815, 2023
22023
A data-driven approach to quantum cross-platform verification
YD Wu, Y Zhu, G Bai, Y Wang, G Chiribella
arXiv preprint arXiv:2211.01668, 2022
22022
Learning quantum properties from short-range correlations using multi-task networks
YD Wu, Y Zhu, Y Wang, G Chiribella
arXiv:2310.11807, 2023
1*2023
Reliable Quantum Certification of Bosonic Code Preparations
YD Wu
arXiv:2211.16777, 2022
12022
Controlling Unknown Quantum States via Data-Driven State Representations
Y Zhu, T Xiao, G Zeng, G Chiribella, YD Wu
arXiv:2406.05711, 2024
2024
Quantum Process Learning Through Neural Emulation
Y Zhu, YD Wu, Q Liu, Y Wang, G Chiribella
arXiv:2308.08815, 2023
2023
Efficient Learning of Continuous-Variable Quantum States
YD Wu, Y Zhu, G Chiribella, N Liu
arXiv e-prints, arXiv: 2303.05097, 2023
2023
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