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Efficient and stable Determinant Quantum Monte Carlo simulations in Python

License: MIT License

Python 86.82% Fortran 6.08% Makefile 0.06% Jupyter Notebook 7.03%
determinant-quantum-monte-carlo dqmc hubbard-model python qmc quantum-mechanics

dqmc's Introduction

Hi, I'm Dylan ๐Ÿ‘‹

Currently pursuing a PhD in strongly-correlated condensed matter physics at the University of Augsburg. Interested in computational physics, quantum computing, machine learning and programming in general.

Projects

Computational physics

  • lattpy - Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
  • exactdiag - Exact diagonalization of fermionic many-body systems.

Music

  • pyrekordbox - Inofficial Python package for interacting with the database and other files (XML, ANLZ, MySettings) of Pioneers Rekordbox DJ software.

Other

  • ftmplt - Simple string parsing and formatting using Python's f-string templates.
  • mplstyles - Collection of scientific Matplotlib styles.

github contribution grid snake animationgithub contribution grid snake animation

dqmc's People

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