Jiaqi (Jimmy) Leng

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I am a Simons Quantum Postdoctoral Fellow at Simons Institute for the Theory of Computing at UC Berkeley, hosted by Umesh Vazirani and Lin Lin. I got my Ph.D. from the University of Maryland in 2024, where I was fortunate to be advised by Xiaodi Wu. My name in Chinese: 冷佳奇.

My research focuses on quantum algorithms for continuous optimization and scientific computing. Specifically, I advocate Hamiltonian-oriented quantum algorithm design, a new paradigm in quantum computation that emphasizes both provable quantum speedups and realistic hardware implementability. I am particularly interested in the following topics:

  1. Theoretical foundation and design of quantum algorithms,
  2. Resource-efficient deployment of quantum algorithms,
  3. Infrastructure (e.g., software toolchains, benchmark, etc.) for quantum applications.

news

May 11, 2025 I am invited to speak in a minisymposium on “Dynamical Systems for Machine Learning” in SIAM Conference on Applications of Dynamical Systems (DS25), organized by Yuqing Wang, Boumediene Hamzi, and Molei Tao.
Oct 22, 2024 I am thrilled to chair a session “Advancements in Quantum Computing and Collaboration” at the 2024 INFORMS Annual Meeting (INFORMS 2024), in which I also give a talk on quantum-inspired algorithms for nonlinear programming.
Oct 08, 2024 I’m invited to give a talk at the 1st workshop on Advancing Quantum Computing Beyond Gate-Model (BGM2024), hosted by QuICS. Here is the link to my talk.

selected publications

  1. embedding.png
    Expanding hardware-efficiently manipulable Hilbert space via Hamiltonian embedding
    Jiaqi Leng ,  Joseph Li ,  Yuxiang Peng , and 1 more author
    Preprint, 2024
  2. qhd.png
    Quantum Hamiltonian Descent
    Jiaqi Leng ,  Ethan Hickman ,  Joseph Li , and 1 more author
    Preprint, 2023