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Title: Parallelized Quantum Monte Carlo Algorithm with Nonlocal Worm Updates
Authors: Masaki-Kato, Akiko
Suzuki, Takafumi
Harada, Kenji  kyouindb  KAKEN_id
Todo, Synge
Kawashima, Naoki
Author's alias: 原田, 健自
Issue Date: 10-Apr-2014
Publisher: American Physical Society
Journal title: Physical Review Letters
Volume: 112
Issue: 14
Thesis number: 140603
Abstract: 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.
Rights: © 2014 American Physical Society
DOI(Published Version): 10.1103/PhysRevLett.112.140603
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