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JinGuo Liu
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Cited by
Year
Approximating quantum many-body wave functions using artificial neural networks
Z Cai, J Liu
Physical Review B 97 (3), 035116, 2018
1662018
Differentiable learning of quantum circuit born machines
JG Liu, L Wang
Physical Review A 98 (6), 062324, 2018
1622018
Differentiable programming tensor networks
HJ Liao, JG Liu, L Wang, T Xiang
Physical Review X 9 (3), 031041, 2019
1242019
Variational quantum eigensolver with fewer qubits
JG Liu, YH Zhang, Y Wan, L Wang
Physical Review Research 1 (2), 023025, 2019
1012019
Superconductivity in doped : A functional renormalization group study
Y Yang, WS Wang, JG Liu, H Chen, JH Dai, QH Wang
Physical Review B 89 (9), 094518, 2014
892014
Learning and inference on generative adversarial quantum circuits
J Zeng, Y Wu, JG Liu, L Wang, J Hu
Physical Review A 99 (5), 052306, 2019
732019
Yao. jl: Extensible, efficient framework for quantum algorithm design
XZ Luo, JG Liu, P Zhang, L Wang
Quantum 4, 341, 2020
722020
Solving quantum statistical mechanics with variational autoregressive networks and quantum circuits
JG Liu, L Mao, P Zhang, L Wang
Machine Learning: Science and Technology 2 (2), 025011, 2021
232021
Quantum optimization of maximum independent set using Rydberg atom arrays
S Ebadi, A Keesling, M Cain, TT Wang, H Levine, D Bluvstein, ...
Science, eabo6587, 2022
152022
Automatic differentiation of dominant eigensolver and its applications in quantum physics
H Xie, JG Liu, L Wang
Physical Review B 101 (24), 245139, 2020
152020
Tropical tensor network for ground states of spin glasses
JG Liu, L Wang, P Zhang
Physical Review Letters 126 (9), 090506, 2021
142021
Probabilistic nonunitary gate in imaginary time evolution
T Liu, JG Liu, H Fan
Quantum Information Processing 20 (6), 1-21, 2021
132021
Quantum impurities in channel mixing baths
JG Liu, D Wang, QH Wang
Physical Review B 93 (3), 035102, 2016
122016
Electronic order near the type-II van Hove singularity in
Y Wang, JG Liu, WS Wang, QH Wang
Physical Review B 97 (17), 174513, 2018
62018
Local indistinguishability and edge modes revealed by the sub-system fidelity
JG Liu, ZL Gu, JX Li, QH Wang
New Journal of Physics 19 (9), 093017, 2017
42017
Differentiate everything with a reversible programming language
JG Liu, T Zhao
arXiv preprint arXiv:2003.04617, 2020
22020
Computing solution space properties of combinatorial optimization problems via generic tensor networks
JG Liu, X Gao, M Cain, MD Lukin, ST Wang
arXiv preprint arXiv:2205.03718, 2022
12022
Automatic differentiation and its applications in physics simulation
L Jin-Guo, X Kai-Lai
ACTA PHYSICA SINICA 70 (14), 2021
2021
微分万物: 深度学习的启示
王磊, 刘金国
物理 50 (2), 69-75, 2021
2021
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Articles 1–19