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Liwei Yu
2022-09-26 11:06


Li-Wei Yu

Research Fellow


Office:Room 806, Shiing-Shen Building

Email:yulw@nankai.edu.cn


Education

2014.09 - 2017.12  Ph.D    CIM, Nankai University

2016.09 - 2017.09  Visitor  Department of Mathematics, UCSB

2011.09 - 2014.06  M.Sc.   CIM, Nankai University

2007.09 - 2011.06  B.S.     School of Physics, Nankai University  


Employment

2022.07 -                Associate Research Fellow, CIM, Nankai University

2020.06 - 2022.06  PostDoc, IIIS, Tsinghua University

2018.01 - 2019.11  PostDoc, CIM, Nankai University


Research Interest

> Quantum Machine Learning & Artificial Intelligence

> Yang-Baxter Equation and Associated Mathematical Physics

> Topological Quantum Computation


Publications

20. Li-Wei Yu*, Weikang Li, Qi Ye, Zhide Lu, Zizhao Han, Dong-Ling Deng*, Expressibility-induced Concentration of Quantum Neural Tangent Kernels, preprint, arXiv: 2311.04965 (2023)

19. Su-Qi Zhang, Jian-Song Hong, Yuan Xue, Xun-Jiang Luo, Li-Wei Yu, Xiong-Jun Liu, and Xin Liu, Deterministic topological Clifford gates for Majorana qubits without ancillary modes, preprint, arXiv: 2305.18190 (2023)

18. Shibo Xu, et.al., Digital simulation of non-Abelian anyons with 68 programmable superconducting qubits, Chin. Phys. Lett. 40 (6), 060301 (2023).

17. Zidu Liu, Qi Ye, Li-Wei Yu, Lu-Ming Duan, Dong-Ling Deng, Theory on variational high- dimensional tensor networks, preprint, arXiv: 2303.17452 (2023).

16. 孙正之, 于立伟, 邓东灵, 量子人工智能简介, 中国计算机学会通讯,19 卷,4 , 10-16 (2023).

15. Li-Wei Yu#, Shunyao Zhang#, Pei-Xin Shen, Dong-Ling Deng, Unsupervised Learning of Interacting Topological Phases from Experimental Observables, accepted, Fundamental Research (2022). # : Equal contribution.

14. Zidu Liu#, Li-Wei Yu#, Lu-Ming Duan, Dong-Ling Deng, The Presence and Absence of Barren Plateaus in Tensor-Network Based Machine Learning, Phys. Rev. Lett. 129, 270501 (2022). # : Equal contribution.

13. Yefei Yu#, Li-Wei Yu#, Wengang Zhang#, Xiaolong Ouyang, Yanqing Liu, Dong-Ling Deng, Lu-Ming Duan, Experimental unsupervised learning of non-Hermitian knotted phases with solid-state spins, npj Quantum Information, accepted (2022). # : Equal contribution.

12. Li-Wei Yu, Dong-Ling Deng, Unsupervised Learning of Non-Hermitian Topological Phases, Phys. Rev. Lett. 126, 240402 (2021).

11. Li-Wei Yu, Mo-Lin Ge, l1-norm in Three-Qubit Quantum Entanglement Constrained by Yang- Baxter Equation, Quantum Inf. Proc. 19, 76 (2020).

10. Li-Wei Yu, Mo-Lin Ge, New Type of Solutions of Yang-Baxter Equations, Quantum Entanglement and Related Physical Models, Journal of Physics: Conference Series 1194 (1), 012117 (2019).

09. Yingkai Liu, Yifei Liu, Li-Wei Yu*, Happer Model with “Puzzling” Degeneracy in Periodic Magnetic Field, preprint, arXiv: 1908.04726 (2019). * : Corresponding author.

08. Li-Wei Yu, Local Unitary Representation of Braids and N-Qubit Entanglements, Quantum Inf. Proc. 17, 44 (2018).

07. Li-Wei Yu, Mo-Lin Ge, L1-Norm and Entanglement in Screening out Braiding from Yang-Baxter Equation Associated with Z3 Parafermion, Phys. Lett. A 381, 958 (2017).

06. Li-Wei Yu, Kang Xue, Mo-Lin Ge, Yang-Baxter Matrices Associated with Quantum Information Based on the Topological Basis, Int. J. Mod. Phys. B 30, 1630013 (2016).

05. Li-Wei Yu, Mo-Lin Ge, Z3 Parafermionic Chain Emerging from Yang-Baxter Equation, Sci. Rep. 6, 21497 (2016).

04. Li-Wei Yu, Mo-Lin Ge, More About the Doubling Degeneracy Operators Associated with Majorana Fermions and Yang-Baxter Equation, Sci. Rep. 5, 8102(2015).

03. Li-Wei Yu, Qing Zhao, Mo-Lin Ge, Factorized Three-body S-matrix Restrained by the Yang- Baxter Equation and Quantum Entanglements, Ann. Phys. 348, 106(2014).

02. Mo-Lin Ge, Li-Wei Yu, Kang Xue, Qing Zhao, Yang-Baxter Equation, Majorana Fermions and Three Body Entangling States, Int. J. Mod. Phys. B 28, 1450089(2014).

01. Mo-Lin Ge, Li-Wei Yu, Kang Xue, Qing Zhao, Solutions of the Yang-Baxter Equation Associated with a Topological Basis and Applications in Quantum Information, Theor. Math. Phys. 181, 1145(2014).


Chern Institute of Mathematics, Nankai University, Tianjin 300071 China
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