title: Population annealing: Theory and application in spin glasses.
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.
authors.affiliation: Department of Physics, University of Massachusetts, Amherst, Massachusetts 01003, USA.
authors.forename: Wenlong
authors.initials: W
authors.lastname: Wang
authors.affiliation: Department of Physics, University of Massachusetts, Amherst, Massachusetts 01003, USA.|Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Machta
authors.affiliation: Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA.|Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843-4242, USA.|Materials Science and Engineering, Texas A&M University, College Station, Texas 77843, USA.|Applied Mathematics Research Centre, Coventry University, Coventry, CV1 5FB, England.
authors.forename: Helmut G
authors.initials: HG
authors.lastname: Katzgraber