Published March 17, 2025 | Version 1.0.0
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Data for work "Variationally optimizing infinite projected entangled-pair states at large bond dimensions: A split-CTMRG approach"

  • 1. ROR icon Freie Universität Berlin
  • 2. ROR icon CRC183 - Entangled States of Matter
  • 3. ROR icon University of Cologne

Contributors

  • 1. ROR icon Freie Universität Berlin
  • 2. ROR icon Helmholtz-Zentrum Berlin für Materialien und Energie
  • 3. ROR icon University of Cologne
  • 4. ROR icon Forschungszentrum Jülich

Description

In this repository the raw data for the work "Variationally optimizing infinite projected entangled-pair states at large bond dimensions: A split-CTMRG approach" are provided. The work is available as preprint on arXiv:

https://arxiv.org/abs/2502.10298

The data is either stored as raw text, the numpy file format or HDF5 generated by the variPEPS Python libary [1-3].

Structure:

- In the folder plot_data/ the raw data used in the figures of the work are provided. These data have been generated from the files in the other folders.

- In the folder energy_comparison/ the data used to generate the energy comparision at fixed chi_I = chi_E are available. 

- In the folder interlayer_chi_benchmark/ the data used to generate the energy comparision for a fixed chi_E=130 but different chi_I are provided.

- In the folder scaling/ the data for the scaling analysis are available.

- In the folder optimization_run/ the data for the variational optimization run with the split and conventional CTMRG method are provided.


[1] https://github.com/variPEPS/variPEPS_Python
[2] https://doi.org/10.5281/zenodo.10852390
[3] https://pypi.org/project/variPEPS/

Files

data_split_ctmrg.zip

Files (2.8 GB)

Name Size Download all
md5:036e8c113ab47e62c656987abe74b830
2.8 GB Preview Download

Additional details

Related works

Cites
Software: 10.5281/zenodo.10852390 (DOI)
Software: https://github.com/variPEPS/variPEPS_Python (URL)
Is supplement to
Preprint: arXiv:2502.10298 (arXiv)

Funding

Deutsche Forschungsgemeinschaft
TRR 183: Entangled States of Matter 277101999

Dates

Submitted
2025-02-14
Submission of preprint arxiv:2502.10298

Software

Programming language
Python