Variance and correlation length of energy estimators in Metropolis path integral Monte Carlo

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Abstract
Variance and error analysis of energy estimators for path integral Monte Carlo simulations is presented, taking the harmonic oscillator as an example and using the standard Metropolis sampling algorithm. A quantitative treatment of the persistence of correlation in the samples leads to conclusions that can be of general relevance for error estimates in this kind of computation.