Tao that can be trodden is not the enduring and unchanging Tao. The name that can be named is not the enduring and unchanging name.


Biography

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Anbang Wu 吴安邦

anbang@cs.sjtu.edu.cn

Hi, my name is Anbang. I will join Shanghai Jiao Tong University (SJTU) as an Assistant Professor at Computer Science and Engineering Department. I received the CS Ph.D. degree from UC Santa Barbara in 2024, under the supervision of Prof. Yufei Ding. Prior to this, I completed my Bachelor's and Master's degrees at Zhejiang University in 2017 and 2020 respectively.

Research Interest  I am interested in quantum computing and quantum information theory. I am mainly focused on integrating cutting-edge advancements in quantum information theory to improve the hardware-software design of quantum computer architectures and systems. My past reseach was to incorporate insights of quantum error correction and quantum communication design to improve the compilation of quantum programs.

Research Topics  Computing related: quantum compiler & system, quantum architecture, quantum algorithm, quantum machine learning (QML).
Information related: quantum error correction (QEC) code, quantum network & communication.

$$ i\hbar {\frac {\partial }{\partial t}}|\psi (t)\rangle ={\hat {H}}|\psi (t)\rangle $$


Publication

  1. [ASPLOS 2024] Mech: Multi-entry communication highway for quantum computation on chiplets.
    Hezi Zhang, Keyi Yin, Anbang Wu, Hassan Shapourian, Alireza Shabani, and Yufei Ding.

  2. [MICRO 2023] QuComm: Optimizing Collective Communication for Distributed Quantum Computing.
    Anbang Wu, Yufei Ding, and Ang Li.

  3. [ISCA 2023] OneQ: A Compilation Framework for Photonic One-Way Quantum Computation.
    Hezi Zhang, Anbang Wu, Yuke Wang, Gushu Li, Hassan Shapourian, Alireza Shabani, Yufei Ding.

  4. [MICRO 2022] AutoComm: A framework for enabling efficient communication in distributed quantum programs.
    Anbang Wu, Hezi Zhang, Gushu Li, Alireza Shabani, Yuan Xie, and Yufei Ding.

  5. [ISCA 2022] A synthesis framework for stitching surface code with superconducting quantum devices.
    Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, and Yuan Xie.

  6. [ASPLOS 2022] Paulihedral: A generalized block-wise compiler optimization framework for quantum simulation kernels.
    Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, and Yuan Xie.

  7. [NanoComm 2021] On the co-design of quantum software and hardware.
    Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, and Yuan Xie.

  8. Towards efficient ansatz architecture for variational quantum algorithms. ArXiv, abs/2111.13730, 2021.
    Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, and Yuan Xie.

  9. Mitigating noise-induced gradient vanishing in variational quantum algorithm training. ArXiv, abs/2111.13209, 2021.
    Anbang Wu, Gushu Li, Yufei Ding, and Yuan Xie.

  10. Enabling Full-Stack Quantum Computing with Changeable Error-Corrected Qubits.
    Anbang Wu, Keyi Yin, Andrew W Cross, Ang Li, and Yufei Ding.

  11. QECV: Quantum error correction verification. ArXiv, abs/2111.13728, 2021.
    Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yuan Xie, and Yufei Ding.

Teaching Experience

UCSB CS160 (Translation of Programming Languages)

03/2021

UCSB CS16 (Problem Solving with Computers I)

10/2020