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TeNeS Gallery

tenes-dev / TeNeS Gallery

Strong correlation/effective modelsQuantum computingDocuments: CC BY 4.0, Codes: GNU General Public License v3.0 or later
Updated: 2024-12-17

Overview

TeNeS is a solver program for two dimensional quantum lattice model based on a projected entangled pair state wavefunction and the corner transfer matrix renormalization group method. TeNeS works on a massively parallel machine because tensor operations are OpenMP/MPI parallelized. This repository provides the sample data including input and output data for TeNeS.

URL
https://isspns-gitlab.issp.u-tokyo.ac.jp/tenes-dev/tenes-gallery
DOI
10.1016/j.cpc.2022.108437
Citations
17 (OpenAlex, as of 2026-10-05)
Authors
Tsuyoshi Okubo, Satoshi Morita, Yuichi Motoyama, Kazuyoshi Yoshimi, Takeo Kato, Naoki Kawashima
License
Documents: CC BY 4.0, Codes: GNU General Public License v3.0 or later
Keywords
Tenestensor networkscorner transfer matrix renormalization groupground state wave functiontensor product statesmagnetizationcorrelation functionsmassively parallel computing (keywords of the paper, from OpenAlex)
Category
Strong correlation/effective models, Quantum computing
References
Yuichi Motoyama, Tsuyoshi Okubo, Kazuyoshi Yoshimi, Satoshi Morita, Takeo Kato, Naoki Kawashima, "TeNeS: Tensor network solver for quantum lattice systems", Computer Physics Communications, 279, 108437(2022).
Related software
TeNeS (Links to: PASUMS software catalog)
Contact
tenes-dev__at__issp.u-tokyo.ac.jp (Please replace __at__ with @.)

Paper and citation

If you use this data, please cite the following paper.

Yuichi Motoyama et al., "TeNeS: Tensor network solver for quantum lattice systems", Computer Physics Communications 279, 108437 (2022). https://doi.org/10.1016/j.cpc.2022.108437

Read the paper (open access) ↗
Show BibTeX
@article{Motoyama_2022, title={TeNeS: Tensor network solver for quantum lattice systems}, volume={279}, ISSN={0010-4655}, url={http://dx.doi.org/10.1016/j.cpc.2022.108437}, DOI={10.1016/j.cpc.2022.108437}, journal={Computer Physics Communications}, publisher={Elsevier BV}, author={Motoyama, Yuichi and Okubo, Tsuyoshi and Yoshimi, Kazuyoshi and Morita, Satoshi and Kato, Takeo and Kawashima, Naoki}, year={2022}, month=Oct, pages={108437} }

Bibliographic details and the open-access link are from OpenAlex; the BibTeX is from doi.org (as registered by the publisher).

Links

README

About

TeNeS is a solver program for two dimensional quantum lattice model based on a projected entangled pair state wavefunction and the corner transfer matrix renormalization group method. TeNeS works on a massively parallel machine because tensor operations are OpenMP/MPI parallelized. This repository provides the sample data including input and output data for TeNeS.

License
  • Documents: CC BY 4.0
  • Source codes: GNU General Public License v3.0 or later

We hope that you cite the reference when you publish the results using TeNeS, our data or codes:

Yuichi Motoyama, Tsuyoshi Okubo, Kazuyoshi Yoshimi, Satoshi Morita, Takeo Kato, Naoki Kawashima, "TeNeS: Tensor network solver for quantum lattice systems", Computer Physics Comunications 279, 108437(2022)

Bibtex:

@article{MOTOYAMA2022108437, title = {TeNeS: Tensor network solver for quantum lattice systems}, journal = {Computer Physics Communications}, volume = {279}, pages = {108437}, year = {2022}, issn = {0010-4655}, doi = {https://doi.org/10.1016/j.cpc.2022.108437}, url = {https://www.sciencedirect.com/science/article/pii/S0010465522001564}, author = {Yuichi Motoyama and Tsuyoshi Okubo and Kazuyoshi Yoshimi and Satoshi Morita and Takeo Kato and Naoki Kawashima} }

Folder structures
  • LICENSE
  • README.md
  • data
    • paper
      • 2024
        • fig.4-5
        • fig.6-7
        • fig.8
      • cpc_2022
        • fig.7
        • fig.8
        • fig.9
    • tutorial
      • 01_transverse_field_ising
      • 02_AFH_square
      • 03_S1_AFH_square
      • 04_Kitaev_honeycomb
      • 05_magnetization
      • 06_hardcore_boson_triangular ...
Contact
  • tenes-dev__at__issp.u-tokyo.ac.jp

please replace __at__ by @.

Source: https://isspns-gitlab.issp.u-tokyo.ac.jp/tenes-dev/tenes-gallery README

Activity

UpdatedLast updated: 2024-12-17 ()