Population annealing: Theory and application in spin glasses

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
Wenlong WangHelmut G Katzgraber

Abstract

Population annealing is an efficient sequential Monte Carlo algorithm for simulating equilibrium states of systems with rough free-energy landscapes. The theory of population annealing is presented, and systematic and statistical errors are discussed. The behavior of the algorithm is studied in the context of large-scale simulations of the three-dimensional Ising spin glass and the performance of the algorithm is compared to parallel tempering. It is found that the two algorithms are similar in efficiency though with different strengths and weaknesses.

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Jun 13, 2015·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Wenlong Wang
Aug 15, 2015·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Wenlong WangHelmut G Katzgraber
Sep 1, 2015·Physical Review Letters·Zheng ZhuHelmut G Katzgraber

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Citations

Apr 3, 2020·Reports on Progress in Physics·Philipp HaukeWilliam D Oliver
Jul 16, 2017·Physical Review. E·Jared Callaham, Jonathan Machta
May 20, 2018·Physical Review. E·Christopher Amey, Jonathan Machta
May 16, 2018·Physical Review. E·Firas HamzeHelmut G Katzgraber
Sep 28, 2017·Physical Review. E·Wenlong WangHelmut G Katzgraber
Mar 2, 2019·Physical Review Letters·Henrik ChristiansenWolfhard Janke
Jan 23, 2020·Physical Review. E·Nathan Rose, Jonathan Machta
May 22, 2019·Physical Review. E·Wenlong WangEgor Babaev
Mar 15, 2020·Physical Review. E·Dilina PereraHelmut G Katzgraber
Dec 18, 2020·Physical Review. E·Fabio MüllerWolfhard Janke
Jun 18, 2021·Physical Review. E·Martin WeigelWolfhard Janke

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