https://github.com/TensorBFS/dTRG

https://github.com/TensorBFS/dTRG

auto-differentiation pytorch-implementation tensor-network

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/TensorBFS/dTRG
• Owner: TensorBFS
• Created: 2019-12-05T15:07:28.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-06T10:33:08.000Z (almost 5 years ago)
• Last Synced: 2024-07-04T02:16:49.962Z (4 months ago)
• Topics: auto-differentiation, pytorch-implementation, tensor-network
• Language: Python
• Size: 7.81 KB
• Stars: 16
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# dTRG (Differentiable tensor renormalization group)

### Requirement 

* [pytorch 1.2+](https://pytorch.org/)

### Free energy of 1D quantum XY chain

Run this to compute the free energy of the 1D quantum XY chain using Automatic Differentiation through the Tensor Renormalization Group contraction. 

```bash

$ python dTRG.py 

```

### To Cite

```bibtex

@misc{chen2019automatic,

    title={Automatic Differentiation for Second Renormalization of Tensor Networks},

    author={Bin-Bin Chen and Yuan Gao and Yi-Bin Guo and Yuzhi Liu and Hui-Hai Zhao and Hai-Jun Liao and Lei Wang and Tao Xiang and Wei Li and Z. Y. Xie},

    year={2019},

    eprint={1912.02780},

    archivePrefix={arXiv},

    primaryClass={cond-mat.str-el}

}

```