2014年4月
Parallelized Quantum Monte Carlo Algorithm with Nonlocal Worm Updates
PHYSICAL REVIEW LETTERS
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- 巻
- 112
- 号
- 14
- 開始ページ
- 14603
- 終了ページ
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1103/PhysRevLett.112.140603
- 出版者・発行元
- AMER PHYSICAL SOC
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 x L x beta t = 10240 x 10240 x 16, using 3200 computing cores, which shows good parallelization efficiency.
- リンク情報
- ID情報
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- DOI : 10.1103/PhysRevLett.112.140603
- ISSN : 0031-9007
- eISSN : 1079-7114
- Web of Science ID : WOS:000338038900004