个人简介
Yu Wang received his Ph.D. from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. His research focuses on quantum information and quantum computation, particularly classical shadow tomography, informationally complete measurements, scalable readout and verification of high-dimensional quantum systems, as well as quantum state preparation and quantum walk models.
He previously served as the Principal Investigator of a National Natural Science Foundation of China (NSFC) Young Scientists Fund project. He is currently the subproject leader of two NSFC Key Projects.
研究兴趣
1. Quantum Information and Computation
Classical shadow tomography, informationally complete measurements, tomography of pure and mixed quantum states, quantum circuit optimization, and problems related to quantum error correction.
2. Quantum Learning and Verification
Sample-efficient quantum learning, verifiable quantum advantage, and interdisciplinary research connecting quantum computation with artificial intelligence.
3. Quantum State Preparation and Quantum Walks
Preparation of sparse and high-dimensional quantum states, construction of low-depth quantum circuits, programmable quantum walk models, and the design of quantum communication protocols.
教育经历
Ph.D., Quantum Information and Quantum Computation
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
2012–2019
B.Sc., Mathematics and Applied Mathematics
School of Mathematical Sciences, Capital Normal University
2007–2011
工作经历
Assistant Researcher
Beijing Institute of Mathematical Sciences and Applications2020–2025
Assistant Researcher
Peng Cheng Laboratory
2019–2020
荣誉奖项
Ruolin Prize, Beijing Institute of Mathematical Sciences and Applications (2025)
Second Prize of Natural Science Award (5/5), China Computer Federation (CCF) Science and Technology Award (2021)
National Scholarship for Doctoral Students, University of Chinese Academy of Sciences (2018)
出版物
1. Yu Wang. Quantum Advantage via Efficient Postprocessing on Qudit Classical Shadow Tomography, Physical Review Letters 135, 200601 (2025).
2. Yu Wang, Meng Li, Yuan-Yuan Zhao. Determinate Arbitrary Quantum State Engineering through One-dimensional Quantum Walks, Physical Review Research 7, 023252 (2025).
3. Yu Wang, Wei Cui. Classical Shadow Tomography with Mutually Unbiased Bases, Physical Review A 109, 062406 (2024).
4. M. Cao, T. Deng, Yu Wang. Dynamical Quantum State Tomography with Time-dependent Channels, Journal of Physics A: Mathematical and Theoretical 57, 215301 (2024).
5. Yu Wang, Keren Li. Pure State Tomography with Fourier Transformation, Advanced
Quantum Technologies 5, 2100091 (2022).
6. 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, Bojie Fu. Quantum Machine Learning of Eco-environmental Surfaces, Science Bulletin 67, 1031–1033 (2022).
7. Yun . Shang, Yu Wang, M. Li, R. Lu Quantum Communication Protocols by Quantum
Walks with Two Coins, Europhysics Letters 124, 60009 (2018).
8. Yu Wang, Yun Shang. Two-qubit Pure State Tomography by Five Product Orthonormal
Bases, Chinese Physics B 27, 100306 (2018).
9. Yu Wang, Yun Shang. Pure State “Really”Informationally Complete with Rank-1
POVM, Quantum Information Processing 17, 51 (2018).
10. Yu Wang, Yun Shang, Peng Xue Generalized Teleportation by Quantum Walks, Quantum Information Processing 16, 221 (2017).
11. Yu Wang, Hanru Jiang, Yongxiang Liu, Keren Li. Direct Measurement of Density Matrices via Dense Dual Bases, arXiv:2409.03435 (2024).
12. Tianfeng Feng, Tianqi Xiao, Yu Wang, Shengshi Pang, Farhan Hanif, Xiaoqi Zhou, Qi Zhao, MS Kim, Jinzhao Sun. Two Measurement Bases are Asymptotically Informationally
Complete for Pure State Tomography, arXiv:2501.17061 (2025).
13. Yu Wang. Direct Reconstruction of the Quantum Density Matrix Elements with Classical Shadow Tomography, arXiv:2505.15243 (2025).
14. Yu Wang, Dongsheng Wu. An Efficient Quantum Circuit Construction Method for
Mutually Unbiased Bases in n-Qubit Systems, arXiv:2311.11698 (2023).
15. Yu Wang. Determination of All Unknown Pure Quantum States with Two Observables, arXiv:2108.05752 (2021).