@article{oai:tsukuba.repo.nii.ac.jp:00051891,
 author = {今倉, 暁 and IMAKURA, Akira and 櫻井, 鉄也 and SAKURAI, Tetsuya and Yamada, Haruka},
 journal = {JSIAM Letters},
 month = {Oct},
 note = {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.},
 pages = {61--64},
 title = {Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition},
 volume = {10},
 year = {2018},
 yomi = {イマクラ, アキラ and サクライ, テツヤ}
}