Yu-Chun Wu
wuyuchun@ustc.edu.cn
Education
1998-2001 Ph.D. in Mathematics, Academy of mathematics and system science, CAS
1995-1998 Master's Degree in Mathematics, Shannxi Normal University
1991-1995 Bachelor's Degree in Mathematics, Shannxi Normal University
Experience
2021-Present Junior Researcher, Hefei National Laboratory
2010-Present Associate Professor, University of Science and Technology of China
2004-2010 Lecturer, University of Science and Technology of China
2001-2004 Postdoctor, University of Science and Technology of China
Overview of Academic Research
Assoc. Prof. Yu-Chun Wu’s research interest is quantum computing in NISQ era and beyond：Exploring the applications of quantum computing in areas such as fluid dynamics, chemistry, biology, finance, and artificial intelligence to obtain the utilities and advantages of quantum computing; Combining the situation of quantum processors, to develop quantum error correction codes and error mitigation techniques, improve quantum computing compilation schemes, demonstrate the capability of quantum computers to solve practical problems.
His major achievements include:
Quantum Computing for Computational Fluid Dynamics: Proposed quantum finite volume methods, quantum homotopy perturbation methods, and quantum dynamic mode decomposition algorithms for solving (non)linear differential equation(s), achieving exponential speedup over classical algorithms. Simulated Poiseuille flow and sound waves on superconducting quantum processors.
Quantum Computing for Materials, Chemistry, etc.: Unified Fermionic-to-bosonic mapping formalisms, proposing hardware-condition-aware, flexible mapping schemes. Accelerated Hamiltonian expectation value calculations by improving grouping strategies. Reduced the difficulty of parameter optimization in variational circuits and mitigated the barren plateau problem based on transfer learning techniques.
Surface-Code-Based Fault-Tolerant Quantum Computing: Improved the architecture for fault-tolerant quantum computation tailored to superconducting hardware conditions. Proposed novel decoding schemes for color codes and fault-tolerant protocols for logical operations.
Research Directions/Fields:
Utilities of quantum computing in NISQ
Quantum error correction and fault-tolerant quantum computation
Variational Quantum Algorithms
Major Honors and Awards
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Representative Publications
1.Huan-Yu Liu, et al., Simulation of open quantum systems on universal quantum computers，Quantum 9, 1765 (2025).
2.Qing-Song Li, et al., Accelerating fermionic system simulation on quantum computers，Phys. Rev. A 111, 052606, (2025).
3.Yu Guo, et al., Certification of genuinely entangled subspaces of the five qubit code via robust self-testing, Reports on Progress in Physics 88 050501, (2025).
4.Yun-Jie Wang, et al., Hardware-Efficient Quantum Random Access Memory Design with a Native Gate Set on Superconducting Platforms，Adv. Quantum Technol. 2400519, (2025).
5.Zhao-Yun Chen et al., Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers, Computer Methods in Applied Mechanics and Engineering, 432 117428, (2024).
6.Jiaxuan Zhang, Yu-Chun Wu and Guo-Ping Guo, Facilitating Practical Fault-tolerant Quantum Computing Based on Color Codes, Phys. Rev. Research. 6 033086, (2024).
7..Xiao-Fan Xu, et al., An efficient quantum algorithm for independent component analysis, New J. Phys. 26 073030 (2024).
8.Si-Yuan Qi, et al., Nonpositive-transpose entanglement and bound entanglement: From distillability sets to inequalities and multivariable insights, Phys. Rev. A 110, 012406 (2024).
9.Huan-Yu Liu, et al., Mitigating barren plateaus with transfer-learning-inspired parameter initializations, New J. Phys. 25 013039 (2023).
10.Jiaxuan Zhang, et al., The concatenation of the Gottesman-Kitaev-Preskill code with the XZZX surface code, Phys. Rev. A 107, 062408 (2023).
11.Long Xiong, et al. Entanglement distribution in fermion model with long-range interaction, Phys. Rev. B 107, 235129 (2023).
12.Cheng Xue, et al., Quantum Dynamic Mode Decomposition Algorithm for High-Dimensional Time Series Analysis, Intelligent Computing 2, 0045 (2023).
13.Xi-Ning Zhuang, et al., Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications, Quantum 7 1127 (2023).
14.Zhao-Yun Chen, et al., Quantum Approach to Accelerate Finite Volume Method on Steady Computational Fluid Dynamics Problems, Quantum Inf. Process. 21, 137 (2022);
15.Cheng Xue, Xiao-Fan Xu, Yu-Chun Wu and Guo-Ping Guo, Quantum Algorithm for solving Quadratic Nonlinear system of Equations, Phys. Rev. A 106, 032427 (2022).
16.Cheng Xue et al., Quantum homotopy perturbation method for nonlinear dissipative ordinary differential equations, New J. Phys. 23 123035 (2021).