Density Matrix Renormalization Group (DMRG) in Julia
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Updated
Jun 26, 2023 - Julia
Density Matrix Renormalization Group (DMRG) in Julia
Implementation of algorithms inspired in tensor networks for machine learning applications
Bose-Hubbard and extended Bose-Hubbard model DMRG calculations and classification of phases.
Running, plotting, analysing @QcmPlab codes from MATLAB.
LuaTeX extension for graphical tensor notation
Distributed-memory implementation of the Density Matrix Renormalization Group
This is the starting point for the DMRG algorithm for Many-Body Physics.
Using TeNPy to simulate Kitaev Ladders. This will be part of my PSI essay work.
A relatively simple implementation, in Python, of the DMRG algorithm using the MPS framework.
MPI supported tensor network library for large scale calculation on strongly-correlated electron systems
Collaborative work on a simple python code for DMRG.
Tensor network package
C++17 toolkit to study the static properties of discrete quantum systems.
This is a repository containing julia codes for MPS/MPDO based tensor network for many body problems (Ground State properties, Time evolution, and Thermal properties).
ZMPO-DMRG: A Parallel Fock-Space ab DMRG code based on MPO for Quantum Chemistry Hamiltonian
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