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jamesETsmith/README.md

About Me

Hi, I'm James 👋. Currently, I am an HPC Software Engineer at Qognitive. I design and implement efficient numerical methods for machine learning and quantum computing algorithms and workflows. Previously, I was a Member of the Technical Staff at Lucata where I worked on porting GraphBLAS to Lucata's custom hardware. My work focused on implementing highly parallel linear algebra methods in C/C++. Before that I was a Flatiron Research Fellow in the Center for Computational Quantum Physics at the Flatiron Institute developing more efficient and robust algorithms for quantum chemistry.

Work 🖥️

  • 🖥️ Currently working on: machine learning + linear algebra libraries
  • 💬 Ask me about: High performance computing (HPC), Scientific Computing, Quantum Chemistry
  • 🤔 Projects I'm tinkering with/thinking about:

Connect with Me

🚀 My website

Open Source Work

GitHub Trends SVG GitHub Trends SVG

Note Contributions to private repos are not included in the figures above.

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  1. qognitive/fast-pauli qognitive/fast-pauli Public

    Python/C++ library for optimized operations on Pauli matrices and Pauli strings

    C++ 10

  2. pyscf/pyscf pyscf/pyscf Public

    Python module for quantum chemistry

    Python 1.3k 586

  3. pybind11_numpy pybind11_numpy Public

    A sandbox for me to practice passing NumPy arrays back and forth to C++ with pybind11.

    C++ 2

  4. fri-cc fri-cc Public

    Fast-randomized iteration for coupled cluster.

    Python 2

  5. mtxio mtxio Public

    Matrix Market IO

    C