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Tensor network with Julia for DMRG and NRG applications with model Hamiltonians

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JTensorNetwork

Tensor network with Julia for DMRG and NRG applications with model Hamiltonians

Description

This series of tutorials for tensor network theory follows those of the "Tensor Networks" course held by Prof. Dr. Jan von Delft (https://www.physik.unimuenchen.de/lehre/vorlesungen/sose_20/tensor_networks_20/index.html) and are written in Julia (https://julialang.org).

Content

  1. JTensorNetwork.jl:
    Module which loads all the relevant functions;

  2. Tutorials:
    Tutorials on TN in form of Julia notebooks;

  3. Tensor_modules:
    Modules regarding tensor networks;

  4. DMRG_modules:
    Modules regarding density matrix renormalization group;

  5. Img:
    Folder containing images employed in the tutorials.