https://github.com/sunchong137/hubbench
https://github.com/sunchong137/hubbench
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/sunchong137/hubbench
- Owner: sunchong137
- License: apache-2.0
- Created: 2023-12-01T00:15:19.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-09T18:44:50.000Z (over 1 year ago)
- Last Synced: 2025-04-11T21:56:25.052Z (about 2 months ago)
- Language: Python
- Size: 26.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Hubbard model benchmarking
==========================
A collection of Bethe Ansatz, FCI, DMRG methods for the Hubbard model.
- Author: Chong Sun
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!
2D Data
-------
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