This repository contains the code used to generate the results in One-step replica symmetry breaking in the language of tensor networks
Just clone this repo, optionally create an environment (conda create -n tnmpa python=3.11), and run poetry install from the project's directory tensor-message-passing
In tnmpa/examples you can find a few jupyter notebooks that demonstrate how to use the code. The files ksat_* compute solutions of kSAT instances. The files compare_* compute some high-level comparisons between massage passing, exact and tensor network contractions. Finally, quimb_bp.ipynb showcases the power of vectorized belief propagation for large tensor networks.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.