cgsp

Coarse-grained spectral projection (CGSP): a deep learning-assisted approach to quantum unitary dynamics
Arxiv page: https://arxiv.org/abs/2007.09788

run 'python main.py' for CGSP of a 32-spin XXZ model.

Tips:

CGSP-adapted NAQS is defined in spectral_net.py
CGSP trainer is defined in cgsp.py
So far, model parameters and some hyperparameters are specified in main.py in a very sloppy way.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
__pycache__		__pycache__
config		config
figures/l32M32N32MCB4000wall-test		figures/l32M32N32MCB4000wall-test
log/l32M32N32MCB4000wall-test		log/l32M32N32MCB4000wall-test
nn_data/l32M32N32MCB4000wall-test		nn_data/l32M32N32MCB4000wall-test
LICENSE		LICENSE
README.md		README.md
cgsp.py		cgsp.py
config.py		config.py
generator.py		generator.py
hilbert.py		hilbert.py
main.py		main.py
myFunctionals.py		myFunctionals.py
myModules.py		myModules.py
postprocess.ipynb		postprocess.ipynb
sampler.py		sampler.py
spectral_net.py		spectral_net.py
tenpy_benchmark.ipynb		tenpy_benchmark.ipynb
util.py		util.py

salinelake/cgsp