A Multigrid Algorithm for Sampling Imaginary-Time Paths in Quantum Monte Carlo Simulations

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dc.creatorMak, C. H.
dc.creatorZakharov, Sergei
dc.date2004-02-06
dc.date.accessioned2026-07-07T02:56:20Z
dc.date.available2026-07-07T02:56:20Z
dc.descriptionWe describe a novel simulation method that eliminates the slowing-down problem in the Monte Carlo simulations of imaginary-time path integrals near the continuum limit. This method combines a stochastic blocking procedure with the multigrid method to rapidly accelerate the sampling of paths in a quantum Monte Carlo simulation, making its dynamics more ergodic. The effectiveness and efficiency of this method are demonstrated for several one-dimensional quantum systems and compared to other standard and accelerated methods.
dc.description9 pages, 12 figures. J. Phys. Chem. B (in press)
dc.identifierhttps://arxiv.org/abs/cond-mat/0402181
dc.identifierhttp://arxiv.org/abs/cond-mat/0402181
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/23285
dc.subjectStatistical Mechanics
dc.titleA Multigrid Algorithm for Sampling Imaginary-Time Paths in Quantum Monte Carlo Simulations
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