Hubbard model benchmarking

A collection of Bethe Ansatz, FCI, DMRG methods for the Hubbard model.

Dependencies:

Bethe Ansatz only depends on Numpy and Scipy.
FCI calculation depends on PySCF.
DMRG depends on PyBlock3 or Block2. One can install the latest version from source by

pip install block2==0.5.3rc5 --extra-index-url=https://block-hczhai.github.io/block2-preview/pypi/

Make sure to go to the GitHub to check the latest version!

The SimonsHub2D directory contains benchmark data for the 2D Hubbard model with a variaty of lattice sizes, doping, frustration and temperature.

The data is obtained from LeBlanc et. al., Phys. Rev. X 5 041041

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
SimonsHub2D		SimonsHub2D
tests		tests
LICENSE		LICENSE
README.md		README.md
hubbard_ba.py		hubbard_ba.py
hubbard_block2.py		hubbard_block2.py
hubbard_fci.py		hubbard_fci.py
hubbard_pyblock3.py		hubbard_pyblock3.py