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| ファイル | 記述 | サイズ | フォーマット | |
|---|---|---|---|---|
| PhysRevLett.112.140603.pdf | 411.78 kB | Adobe PDF | 見る/開く |
| タイトル: | Parallelized Quantum Monte Carlo Algorithm with Nonlocal Worm Updates |
| 著者: | Masaki-Kato, Akiko Suzuki, Takafumi Harada, Kenji    https://orcid.org/0000-0003-0231-7880 (unconfirmed)Todo, Synge Kawashima, Naoki |
| 著者名の別形: | 原田, 健自 |
| 発行日: | 10-Apr-2014 |
| 出版者: | American Physical Society (APS) |
| 誌名: | Physical Review Letters |
| 巻: | 112 |
| 号: | 14 |
| 論文番号: | 140603 |
| 抄録: | Based on the worm algorithm in the path-integral representation, we propose a general quantum Monte Carlo algorithm suitable for parallelizing on a distributed-memory computer by domain decomposition. Of particular importance is its application to large lattice systems of bosons and spins. A large number of worms are introduced and its population is controlled by a fictitious transverse field. For a benchmark, we study the size dependence of the Bose-condensation order parameter of the hard-core Bose-Hubbard model with L×L×βt=10240×10240×16, using 3200 computing cores, which shows good parallelization efficiency. |
| 著作権等: | © 2014 American Physical Society |
| URI: | http://hdl.handle.net/2433/200797 |
| DOI(出版社版): | 10.1103/PhysRevLett.112.140603 |
| PubMed ID: | 24765940 |
| 出現コレクション: | 学術雑誌掲載論文等 |
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