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Python implementation of quantum tensor network operations and simulations (work in progress)
Determinant quantum Monte Carlo applied to the Hubbard model
C implementation of tensor networks for quantum simulations: matrix product states and operators, time evolution (using Trotter splitting), ... Reference implementation for testing using Mathematica
C implementation of the classical lattice Boltzmann method (LBM) using the D2Q9 and D3Q19 models
FermiFab toolbox for fermionic many-particle quantum systems
Nonlinear fluctuating hydrodynamics for anharmonic chains
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