About Me

I am a Ph.D. student in Electronic and Computer Engineering at The Hong Kong University of Science and Technology (HKUST), advised by Dr. Yuan Xie. I transitioned to HKUST with my advisor in 2024, having previously pursued my Ph.D. studies in Computer Science at University of California, Santa Barbara. Prior to this, I earned my M.S. in Electrical and Computer Engineering from The University of Arizona in 2022 under the supervision of Dr. Zheshen Zhang, and bachelor's degrees (B.S. in Physics and B.E. in Computer Science) from University of Science and Technology of China in 2021.

Newness from the old, the inexhaustible past.
如將不儘, 與古爲新.       ——《二十四詩品》

My research is committed to a "More-than-More-than-Moore" approach in the CS community—advancing architectural support for robust quantum computer systems. As nowadays quantum computers increasingly scale up and we are entering the era of fault-tolerant quantum computing, I am particularly interested in exploring how to enhance the robustness and scalability of quantum computers, through relevant architecture design and compiler optimization grounded on mathematical and physical foundations. My recent work spans quantum instruction set architecture, compiler optimization, error correction decoding, quantum machine learning algorithms, and systematic error mitigation and suppression.

—— written in February, 2026

Education

Ph.D. student, Electronic and Computer Engineering
The Hong Kong University of Science and Technology, Hong Kong

Ph.D. student, Computer Science
University of California, Santa Barbara, CA, U.S.

M.S., Electrical and Computer Engineering
The University of Arizona, Tuscon, AZ, U.S.

B.E., Computer Science and Technology
University of Science and Technology of China, Hefei, China

B.S., Physics
University of Science and Technology of China, Hefei, China

Experience

Quantum Scientist, 2026
Software and Algorithms Team, Xanadu Quantum Technologies

Student Member, 2021 — 2023
Center for Quantum Networks, 4th-generation NSF Engineering Research Center

Research Intern, June — September, 2023
DAMO Academy, Alibaba Group

Research Intern, April — August, 2021
Baidu Research, Baidu Inc

Get in Touch

If you are interested in something about me, feel free to reach out via email.