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On the Use of Optimized Monte Carlo Methods for Studying Spin Glasses

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arxiv cond-mat/0011039 v1 pith:MUQ2G5WA submitted 2000-11-02 cond-mat.stat-mech cond-mat.dis-nn

On the Use of Optimized Monte Carlo Methods for Studying Spin Glasses

classification cond-mat.stat-mech cond-mat.dis-nn
keywords carlomontebivariatecanonicaldatamethodsmultioptimized
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We start from recently published numerical data by Hatano and Gubernatis cond-mat/0008115 to discuss properties of convergence to equilibrium of optimized Monte Carlo methods (bivariate multi canonical and parallel tempering). We show that these data are not thermalized, and they lead to an erroneous physical picture. We shed some light on why the bivariate multi canonical Monte Carlo method can fail.

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