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Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition
http://hdl.handle.net/2241/00157320
http://hdl.handle.net/2241/001573204bf29ff7-2784-451e-83d6-b0b3490229ff
名前 / ファイル | ライセンス | アクション |
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JSIAML_10-61 (245.2 kB)
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Item type | Journal Article(1) | |||||
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公開日 | 2019-08-09 | |||||
タイトル | ||||||
タイトル | Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
今倉, 暁
× 今倉, 暁× 櫻井, 鉄也× Yamada, Haruka |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Tensor renormalization group (TRG) is a coarse-graining algorithm for approximating the partition function using a tensor network in the field of elementary particle physics. Although the computational cost of TRG can be reduced using a randomized singular value decomposition, its computation time is still large. In this paper, we propose a cost-efficient cutoff method for calculating TRG by truncating small tensor elements. Numerical experiments showed that the proposed method is faster than the conventional one without degrading accuracy. | |||||
書誌情報 |
JSIAM Letters 巻 10, p. 61-64, 発行日 2018-10 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1883-0609 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.14495/jsiaml.10.61 | |||||
権利 | ||||||
権利情報 | © 2018 Japan Society for Industrial and Applied Mathematics | |||||
著者版フラグ | ||||||
値 | publisher | |||||
出版者 | ||||||
出版者 | The Japan Society for Industrial and Applied Mathematics |