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  1. Python implementation of quantum tensor network operations and simulations: matrix product states and operators, TDVP time evolution, support for quantum numbers, ...

    Python 19 8

  2. Mini-course on reinforcement learning

    Jupyter Notebook 4

  3. C implementation of tensor networks for quantum simulations: matrix product states and operators, time evolution (using Trotter splitting), ... Reference implementation for testing using Mathematica

    Mathematica 6 1

  4. Determinant quantum Monte Carlo applied to the Hubbard model

    Mathematica 12 5

  5. FermiFab toolbox for fermionic many-particle quantum systems

    C 3 2

  6. C implementation of the classical lattice Boltzmann method (LBM) using the D2Q9 and D3Q19 models

    Mathematica 21 10

444 contributions in the last year

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Contribution activity

August 2020

cmendl has no activity yet for this period.

July 2020

22 contributions in private repositories Jul 3 – Jul 27

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