Data for the work "Efficient optimization of variational tensor-network approach to three-dimensional statistical systems"
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901827013836800 |
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| author | Xu, Xia-Ze Lin, Tong-Yu |
| author_facet | Xu, Xia-Ze Lin, Tong-Yu |
| contents | <p>This dataset contains the data supporting the work “Efficient optimization of variational tensor-network approach to three-dimensional statistical systems” (arXiv:2506.19339).<br>The structure of the dataset is:<br>-Directory “Accuracy_and_efficiency_benchmark” contains the raw data for accuracy and efficiency benchmark of the split-CTMRG method (Fig. 8 in the paper).<br>-Directory “Physical_quantity_for_3D_Ising_Model” contains the raw data for the magnetization, internal energy and specific heat of 3D Ising model calculated with split/reduced method (Fig. 9 and 10 in the paper).<br>-A Jupyter notebook file “Data_readout_example.ipynb” shows how to read out and use the data. The function supporting the plot of Monte Carlo reference curve in the paper is also contained in this file.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16992620 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Data for the work "Efficient optimization of variational tensor-network approach to three-dimensional statistical systems" Xu, Xia-Ze Lin, Tong-Yu Condensed matter physics <p>This dataset contains the data supporting the work “Efficient optimization of variational tensor-network approach to three-dimensional statistical systems” (arXiv:2506.19339).<br>The structure of the dataset is:<br>-Directory “Accuracy_and_efficiency_benchmark” contains the raw data for accuracy and efficiency benchmark of the split-CTMRG method (Fig. 8 in the paper).<br>-Directory “Physical_quantity_for_3D_Ising_Model” contains the raw data for the magnetization, internal energy and specific heat of 3D Ising model calculated with split/reduced method (Fig. 9 and 10 in the paper).<br>-A Jupyter notebook file “Data_readout_example.ipynb” shows how to read out and use the data. The function supporting the plot of Monte Carlo reference curve in the paper is also contained in this file.</p> |
| title | Data for the work "Efficient optimization of variational tensor-network approach to three-dimensional statistical systems" |
| topic | Condensed matter physics |
| url | https://doi.org/10.5281/zenodo.16992620 |