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Python package for quantum circuits and algorithms, focusing on quantum simulation
Python implementation of quantum tensor network operations and simulations: matrix product states and operators, TDVP time evolution, support for quantum numbers, ...
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
Simulation and visualization of ternary unitary networks, implemented in Python/NumPy
C implementation of the classical lattice Boltzmann method (LBM) using the D2Q9 and D3Q19 models
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