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Achievement: Pull SharkAchievement: Arctic Code Vault ContributorAchievement: Starstruck

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault ContributorAchievement: Starstruck

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@Kent-AI-Laboratory

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haimengzhao/README.md

Hi there 👋

I am Haimeng Zhao (赵海萌), a PhD student in Physics at Caltech. I received my Bachelor's degree in Mathematics and Physics with Honours from Tsinghua University in 2024.

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 Intelligence.

In particular, I’m interested in the physical nature of learning and computation. Three overarching questions motivate my work:

  1. How do physical laws impact our ability to learn and how to harness them?
  2. How does our (in)ability to learn impact our perception of the physical reality?
  3. What is the ultimate physical limit of learning and computation?

I draw tools from theoretical physics, computer science, and machine learning to answer these questions.

Pinned Loading

  1. quantum-oracle-sketching quantum-oracle-sketching Public

    Quantum Oracle Sketching: enable access to the classical world in quantum superposition for large-scale machine learning.

    Python 103 19

  2. qml-advantage qml-advantage Public

    Code for the paper "Entanglement-induced provable and robust quantum learning advantages"

    Jupyter Notebook 10 1

  3. bounded-gate-tomography bounded-gate-tomography Public

    Code for the paper "learning quantum states and unitaries of bounded gate complexity"

    Python 2

  4. netket/netket netket/netket Public

    Machine learning algorithms for many-body quantum systems

    Python 682 214

  5. magic-microlensing magic-microlensing Public

    MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.

    Jupyter Notebook 13 3

  6. quantum-fed-infer quantum-fed-infer Public

    A quantum machine learning algorithm for quantum non-IID federated learning

    Jupyter Notebook 31 5