simple_dmrg is a Python package of a simple implementation of DMRG, based on the pseudocode in Fig. 19 of Catarina and Murta: https://doi.org/10.1140/epjb/s10051-023-00575-2, along with drawing on parts of Hubig et al. https://link.aps.org/doi/10.1103/PhysRevB.95.035129 and Dolfi et al. http://dx.doi.org/10.1016/j.cpc.2014.08.019.
We recommend setting up and running this code on a Linux flavour OS, MacOSX, or Windows Subsystem for Linux 2 (WSL2). It has been tested so far on WSL2. If you have any issues, please contact us.
First, Python 3.9 is needed. We recommend using the Python version manager pyenv to install this (instructions are here). pyenv is under the open source MIT-license (Github Repository). We specify specifically Python 3.9 for the sake of consistency in the benchmark.
To obtain the source code, clone the git repository or download the code directly. Then, navigate to the code location (i.e. where pyproject.toml is located; this directory will be called simple_dmrg if the code is cloned).
Once Python 3.9 is installed and activated in the terminal, we recommend creating a new virtual environment in the code folder using venv and then installing the package via pip.
More detailed instructions to create a Python virtual environment can be found here, with our suggested commands below.
First, navigate to the code folder and run:
python -m venv dmrg_env
Before installing, the environment must be activated. For example, by running
source dmrg_env/bin/activate
Whenever you wish to deactivate the environment, run
deactivate
Any needed dependencies should be installed automatically.
To install simple_dmrg, first ensure the correct virtual environment is activated.
Then, in the code directory (i.e. where pyproject.toml is located; this directory will be called simple_dmrg if the code is cloned) run:
python -m pip install .
See the examples directory for a python notebook showing how to run the code. There is also an html version for easy viewing.
We can be reached at [email protected]