BIMSA > Yu Wang
Assistant Professor Yu Wang

Group: Quantum Symmetry

Office: A3-2-304

Email: wangyu@bimsa.cn

Research Field: Quantum Information and Quantum Computing

Biography

Yu Wang received his PhD degree in computer software and theory from the Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences in 2019. After graduation, he worked at Pengcheng Laboratory in Shenzhen. In December 2020, he joined the Yanqi Lake Beijing Institute of Mathematical Science and Applications. The main research area is about quantum information and quantum computation. Specifically, the current research is focuses on quantum state tomography, in order to optimize the measurement and computation resouce to read out the unknown quantum states. Besides, it is also studied to design new quantum communication protocols by different quantum walk models.

Publication

  • [1] Yu Wang, Meng Li, Yuanyuan Zhao, Determinate Arbitrary Quantum State Engineering Through One-Dimensional Quantum Walks, PHYSICAL REVIEW RESEARCH (2025)
  • [2] Yu Wang, Direct reconstruction of the quantum density matrix elements with classical shadow tomography (2025)
  • [3] T Feng, T Xiao, Y Wang, S Pang, F Hanif, X Zhou, Q Zhao, MS Kim, J Sun, Two measurement bases are asymptotically informationally complete for any pure state tomography, arXiv (2025)
  • [4] Y Wang, H Jiang, Y Liu, K Li, Direct measurement of density matrices via dense dual bases, arXiv (2024)
  • [5] Yu Wang , Quantum Advantage via Efficient Post-processing on Qudit Shadow tomography (2024)
  • [6] Yu Wang , Sparse qudit eigeneering with one dimensional quantum walks (2024)
  • [7] Yu Wang, and Wei Cui, Classical shadow tomography with mutually unbiased bases, Physical Review A, 109(062406), 062406 (2024)
  • [8] M. Cao, T. Deng, Y. Wang, Dynamical quantum state tomography with time-dependent channels, Journal of Physics A: Mathematical and Theoretical, 57(21), 215301 (2024)
  • [9] Wang Yu, Wu Dongsheng, An Efficient Quantum Circuit Construction Method for Mutually Unbiased Bases in$ n $-Qubit Systems, arXiv (2023)
  • [10] Yu Wang, Keren Li, Pure state tomography with fourier transformation, Advanced Quantum Technologies, 5(8), 2100091 (2022)
  • [11] Tianxiang Yue, Yi Liu, Zhengping Du, John Wilson, Dongyi Zhao, Yu Wang, Na Zhao, Wenjiao Shi, Zemeng Fan, Xiaomin Zhao, Qin Zhang, Hongsheng Huang, Qingyuan Wu, Wei Zhou, Yimeng Jiao, Zhe Xu, Saibo Li, Yang Yang, and Bojie Fu, Quantum machine learning of eco-environmental surfaces, Science Bulletin, 67(2022), 1031-1033
  • [12] Yu Wang, Determination of all unknown pure quantum states with two observables, (2021)
  • [13] Shang Y, Wang Y, Li M, Ruqian Lu., Quantum communication protocols by quantum walks with two coins, Europhysics letters, 124(6), 60009 (2019)
  • [14] Y Wang, Y Shang, Two-qubit pure state tomography by five product orthonormal bases, Chinese Physics B, 27(10), 100306 (2018)
  • [15] Wang Y, Shang Y, Pure state ‘really’informationally complete with rank-1 POVM, Quantum Information Processing, 17(3), 51 (2018)
  • [16] Wang Y, Shang Y, Xue P, Generalized teleportation by quantum walks, Quantum Information Processing, 16, 1-13 (2017)

 

Update Time: 2025-07-25 12:34:32