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arxiv: 1506.01905 · v2 · submitted 2015-06-05 · ❄️ cond-mat.str-el

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Continuous-time Quantum Monte Carlo using Worm Sampling

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classification ❄️ cond-mat.str-el
keywords greenfunctionssamplingwormtwo-particlecarlocontinuous-timect-hyb
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We present a worm sampling method for calculating one- and two-particle Green's functions using continuous-time quantum Monte Carlo simulations in the hybridization expansion (CT-HYB). Instead of measuring Green's functions by removing hybridization lines from partition function configurations, as in conventional CT-HYB, the worm algorithm directly samples the Green's function. We show that worm sampling is necessary to obtain general two-particle Green's functions which are not of density-density type and that it improves the sampling efficiency when approaching the atomic limit. Such two-particle Green's functions are needed to compute off-diagonal elements of susceptibilities and occur in diagrammatic extensions of the dynamical mean field theory and efficient estimators for the single-particle self-energy.

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