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Parallelized Quantum Monte Carlo Algorithm with Nonlocal Worm Updates.
- Source :
-
Physical Review Letters . 4/11/2014, Vol. 112 Issue 14, p140603-1-140603-5. 5p. - Publication Year :
- 2014
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00319007
- Volume :
- 112
- Issue :
- 14
- Database :
- Academic Search Index
- Journal :
- Physical Review Letters
- Publication Type :
- Academic Journal
- Accession number :
- 95862795
- Full Text :
- https://doi.org/10.1103/PhysRevLett.112.140603