Cluster Monte Carlo Algorithms for Diluted Spin Glasses | Zendy

Thomas Jörg | Zendy

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Cluster Monte Carlo Algorithms for Diluted Spin Glasses

Author(s) -

Thomas Jörg

Publication year - 2005

Publication title -

progress of theoretical physics supplement

Language(s) - English

Resource type - Journals

ISSN - 0375-9687

DOI - 10.1143/ptps.157.349

Subject(s) - monte carlo method , parallel tempering , spin glass , cluster (spacecraft) , statistical physics , monte carlo algorithm , gaussian , spin (aerodynamics) , algorithm , monte carlo method in statistical physics , dynamic monte carlo method , physics , hybrid monte carlo , condensed matter physics , materials science , computer science , mathematics , markov chain monte carlo , thermodynamics , statistics , quantum mechanics , programming language

Recently a cluster Monte Carlo algorithm has been used very successfully inthe two-dimensional Edwards-Anderson (EA) model. We show that this algorithmand a variant thereof can also be used successfully in models with a non-zerospin glass transition temperature. The application of such algorithms to thesite-diluted EA model in three dimensions is discussed and the efficiency ofthe two algorithms is compared among each other and to parallel tempering.Finally, we give evidence for a spin glass transition in the three-dimensionalsite-diluted EA model with Gaussian couplings at a site occupation of p = 62.5%.Comment: Proceedings of "Statistical Physics of Disordered Systems and Its Applications", Hayama (Japan), July 2004; 4 pages, 2 figure

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