DMRG-LLM v1.0.0

Overview

Initial release of supplementary materials for LLM-Assisted Workflow for MPS/DMRG (Density Matrix Renormalization Group).

Contents

This release includes:

• Jupyter Notebooks (97.4%): Interactive computational workflows demonstrating LLM-assisted techniques for MPS/DMRG simulations
• Python Scripts (2.6%): Supporting code and utilities for reproducibility

Key Features

• Complete documentation of LLM-Assisted workflows
• Reproducible computational notebooks
• Integration of large language models with tensor network methods

Citation

If you use these materials in your research, please cite this repository:

@software{yizhou_dmrg_llm_2026,
  author = {Yizhou},
  title = {DMRG-LLM: Documents of LLM-Assisted Workflow for MPS/DMRG},
  year = {2026},
  url = {https://github.com/yizhou76-sudo/DMRG-LLM}
}

Getting Started

1. Clone the repository
2. Review the Jupyter notebooks for detailed workflows
3. Follow the documentation in each notebook for setup and usage

License

Please see the LICENSE file for usage terms.

Created: April 3, 2026