Personal Biography

I work on quantum computing and quantum information theory. My research focuses on benchmarking noisy quantum channels, optimization and learning of quantum circuits, learning of covert/hidden channels, and optimization of randomized measurements. My work has been published as (co-)first author and/or (co-)corresponding author in venues including Nature, npj Quantum Information, ICLR, SODA, and Science Bulletin.

I have led or participated in research projects and talent programs including the NSFC Young Scientists Fund, the NSFC Physics Special Program (completed), Zhejiang Lab Young International Talent Fund (completed), and the Postdoctoral International Exchange Program (completed). Prospective Postdoc/PhD/interns/visitors are welcome to reach out if you (1) have a strong mathematics background and are interested in theoretical algorithm design; (2) have a background in quantum computing or quantum physics and would like to explore quantum algorithms and quantum information; or (3) have a computer science background and are familiar with machine learning and would like to explore its applications in quantum computing.

Education Background

Ph.D. in Computer Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences (UCAS/ICT), Aug 2015 – Jan 2021

B.Eng. in Computer Science and Technology, Xidian University (XDU), Aug 2011 – Jul 2015

Working Experience

Mar 2025 – Present: Associate Researcher, Shenzhen International Quantum Academy

Dec 2023 – Feb 2025: Associate Researcher, Institute of Quantum Science and Engineering, Southern University of Science and Technology (SUSTech)

Oct 2022 – Oct 2023: Postdoctoral Fellow, Free University of Berlin

Jun 2021 – Dec 2023: Postdoctoral Researcher, Peking University

Jan 2021 – May 2021: Research Assistant, Peking University

Papers and Patents

* Co-first author; # Co-corresponding author.

Selected Papers:

[1] Sirui Cao*, Bujiao Wu*, Fusheng Chen*, Ming Gong*, …, Xiao Yuan#, Xiaobo Zhu#, and Jian-Wei Pan#. "Scalable generation of genuine entanglement up to 51-qubits on a superconducting quantum processor." Nature 619, 738–742 (2023).

[2] Bujiao Wu, Dax Enshan Koh. "Error-mitigated fermionic classical shadows on noisy quantum devices." npj Quantum Information 10(1), 39 (2024).

[3] Yusen Wu, Bujiao Wu#, Yanqi Song, Xiao Yuan, Jingbo Wang#. "Complexity analysis of weakly noisy quantum states via quantum machine learning." ICLR (2025).

[4] Bujiao Wu*, Bin Cheng*, Fei Jia, Jialin Zhang, Man-Hong Yung#, Xiaoming Sun#. "Speedup in classical simulation of Gaussian boson sampling." Science Bulletin 65(10), 832–841 (2020).

[5] Jiaqing Jiang, Xiaoming Sun, Shang-Hua Teng, Bujiao Wu, Kewen Wu, Jialin Zhang. "Optimal space-depth trade-off of CNOT circuits in quantum logic synthesis." Proc. 14th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 213–229 (2020).

[6] Bujiao Wu*, Jinzhao Sun*, Qi Huang, Xiao Yuan. "Overlapped grouping measurement: A unified framework for measuring quantum states." Quantum 7, 896 (2023).

[7] Yusen Wu*, Bujiao Wu*, Jingbo Wang, Xiao Yuan. "Provable advantage in quantum phase learning via Quantum Kernel Alphatron." Quantum 7, 981 (2023).

[8] Bujiao Wu, Xiaoyu He, Shuai Yang, Lifu Shou, Guojing Tian, Jialin Zhang, Xiaoming Sun. "Optimization of CNOT circuits on limited-connectivity architecture." Physical Review Research 5(1), 013065 (2023).

[9] Tianren Gu, Xiao Yuan, Bujiao Wu#. "Efficient measurement schemes for bosonic systems." Quantum Science and Technology 8(4), 045008 (2023).

[10] Kaiming Bian, Bujiao Wu#. "Adaptive-depth randomized measurement for fermionic observables." Quantum Science and Technology 10, 035063 (2025).

Selected Patents:

Bujiao Wu, Fei Jia, Jialin Zhang, Wenkang Weng, Xiaoming Sun. A node identification method, apparatus and device (2019).

Xiao Yuan, Bujiao Wu. A quantum measurement method and apparatus, and a computing device (2022).