Haimeng Zhao

Haimeng Zhao

PhD Student in Physics



Hello ~ I’m Haimeng Zhao (赵海萌), a PhD student in Physics at Caltech. I’m deeply fascinated by how the universe works and how we can possibly understand it. So I started working in the intersection of Physics and Artificial Intelligence.

In particular, I’m interested in the foundation, applications and interplay of quantum physics, information theory and high-dimensional statistics. The emerging, unifying theme among quantum information, condensed matter and high energy physics also excites me.

Before Caltech, I received my Bachelor’s degree in Mathematics and Physics with Honours from Tsinghua University. I was an undergrad research fellow in John Preskill’s group at IQIM, Caltech and an exchange student in Giuseppe Carleo’s group at EPFL in Switzerland. Before that, I worked on AI for Astronomy with Wei Zhu at Tsinghua.


  • Quantum Many-body Physics
  • Quantum Information, Statistics & Learning Theory
  • AI for Science, especially Physics & Astrophysics
  • Generative Learning


  • PhD Student in Physics


  • BS in Mathematics and Physics, 2024

    Tsinghua University

  • Outstanding Graduate, 2020

    Shanghai High School


(2024). Empirical Sample Complexity of Neural Network Mixed State Reconstruction. Quantum 8, 1358.

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(2024). CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach. ACM Transactions on Sensor Networks 20 (2), 1-27.


(2023). Learning quantum states and unitaries of bounded gate complexity.


(2023). Non-IID Quantum Federated Learning with One-shot Communication Complexity. Quantum Machine Intelligence, 5(1), 3.

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(2022). MAGIC: Microlensing Analysis Guided by Intelligent Computation. The Astronomical Journal, 164(5), 192.

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