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

E. Marinari , G. Parisi , F. Ricci-Tersenghi , F. Zuliani

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classification ❄️ cond-mat.stat-mech cond-mat.dis-nn

keywords carlomontebivariatecanonicaldatamethodsmultioptimized

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

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