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Zheng-Zhi Sun
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引用次数
引用次数
年份
Generative tensor network classification model for supervised machine learning
ZZ Sun, C Peng, D Liu, SJ Ran, G Su
Physical Review B 101 (7), 075135, 2020
622020
Digital simulation of projective non-Abelian anyons with 68 superconducting qubits
S Xu, ZZ Sun, K Wang, L Xiang, Z Bao, Z Zhu, F Shen, Z Song, P Zhang, ...
Chinese Physics Letters 40 (6), 060301, 2023
452023
Visualizing quantum phases and identifying quantum phase transitions by nonlinear dimensional reduction
Y Yang, ZZ Sun, SJ Ran, G Su
Physical Review B 103 (7), 075106, 2021
182021
Tangent-space gradient optimization of tensor network for machine learning
ZZ Sun, SJ Ran, G Su
Physical Review E 102 (1), 012152, 2020
172020
Tensor network compressed sensing with unsupervised machine learning
SJ Ran, ZZ Sun, SM Fei, G Su, M Lewenstein
Physical Review Research 2 (3), 033293, 2020
162020
Reentrance of the topological phase in a spin-1 frustrated Heisenberg chain
Y Yang, SJ Ran, X Chen, ZZ Sun, SS Gong, Z Wang, G Su
Physical Review B 101 (4), 045133, 2020
62020
Long-lived topological time-crystalline order on a quantum processor
L Xiang, W Jiang, Z Bao, Z Song, S Xu, K Wang, J Chen, F Jin, X Zhu, ...
arXiv preprint arXiv:2401.04333, 2024
52024
Non-Abelian braiding of Fibonacci anyons with a superconducting processor
S Xu, ZZ Sun, K Wang, H Li, Z Zhu, H Dong, J Deng, X Zhang, J Chen, ...
Nature Physics, 1-7, 2024
42024
Quantum Compressed Sensing with Unsupervised Tensor-Network Machine Learning
SJ Ran, ZZ Sun, SM Fei, G Su, M Lewenstein
arXiv preprint arXiv:1907.10290, 2019
32019
Probing many-body Bell correlation depth with superconducting qubits
K Wang, W Li, S Xu, M Hu, J Chen, Y Wu, C Zhang, F Jin, X Zhu, Y Gao, ...
arXiv preprint arXiv:2406.17841, 2024
22024
Quantum Heaviside Eigen Solver
ZZ Sun, G Su
arXiv preprint arXiv:2111.08288, 2021
2021
Tangent-space gradient optimization: an efficient update scheme for tensor network machine learning and beyond
ZZ Sun, SJ Ran, G Su
Generative Tensor Network Classification for Supervised Learning
D Liu, ZZ Sun, C Peng, G Su, SJ Ran
Matrix product state for quantum-inspired feature extraction and compressed sensing
WJ Li, ZZ Sun, YR Wang, SJ Ran, G Su
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