article · Scholarworks (University of Massachusetts Amherst) · 2023
Efficiency of Parallel Tempering for Ising Systems
Cited by 0Open access
Abstract
The efficiency of parallel tempering Monte Carlo is studied for a two-dimensional Ising system of length L with N=L^2 spins. An external field is used to introduce a difference in free energy between the two low temperature states.\nIt is found that the number of replicas R_opt that optimizes the parallel tempering algorithm scales as the square root of the system size N. For two symmetric low temperature states, the time needed for equilibration is observed to grow as L^2.18. If a significant difference in free energy is present between the two states, this changes to L^1.02.\nIt is therefore established that parallel tempering is sped up by a factor of roughly L if an asymmetry is introduced between the low temperature states. This confirms previously made predictions for the efficiency of parallel tempering. These findings should be especially relevant when using parallel tempering for systems like spin glasses, where no information about the degeneracy of low temperature states is available prior to the simulation.
Cite this paper
Burkhardt, S. (2023). Efficiency of Parallel Tempering for Ising Systems. Scholarworks (University of Massachusetts Amherst). https://doi.org/10.7275/1467366
Burkhardt, Stephan. “Efficiency of Parallel Tempering for Ising Systems.” Scholarworks (University of Massachusetts Amherst), 2023, https://doi.org/10.7275/1467366.
Burkhardt, Stephan. 2023. “Efficiency of Parallel Tempering for Ising Systems.” Scholarworks (University of Massachusetts Amherst). https://doi.org/10.7275/1467366.
Burkhardt, S. (2023) ‘Efficiency of Parallel Tempering for Ising Systems’, Scholarworks (University of Massachusetts Amherst). Available at: https://doi.org/10.7275/1467366.
@article{burkhardt2023efficiency,
title = {{Efficiency of Parallel Tempering for Ising Systems}},
author = {Burkhardt, Stephan},
journal = {Scholarworks (University of Massachusetts Amherst)},
year = {2023},
doi = {10.7275/1467366}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
Related papers
Role of Parallel Tempering Monte Carlo Simulation in 2D Ising Spin Glass System with Distance Dependent Interaction
Habte, Dulla, Berry et al. · 物理科学与应用:英文版 · 2012
Cited by 1
Monte-Carlo Simulation of Two Dimensional Ising Model
Shaohong Cai · Journal of Guizhou University · 2008
Cited by 0
Simulation of Monte-Carlo based on 2D Ising model
Ning Xu · Journal of Anhui University · 2008
Cited by 0
Monte Carlo studies of the fcc Ising model
T. Polgreen · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · 1984
Cited by 0
Monte Carlo studies of critical phase behaviors of compressible Ising models
Xiaoliang Zhu · 2005
Cited by 0
Spreading of 'damage' in a three-dimensional Ising model
U.M.S. Costa · Journal of Physics A Mathematical and General · 1987
Cited by 78
Numerical study on the low temperature phase of the 3D +/- J Ising spin glass model
Koji Fukushima, Kae Nemoto, Hajime Takayama et al. · 1995
Cited by 0
Optical simulation of 2D Ising model with a coherent Ising machine
Fabian Böhm, Takahiro Inagaki, Kensuke Inaba et al. · The Japan Society of Applied Physics · 2018
Cited by 0