Flat histogram quantum Monte Carlo for analytic continuation to real time
ORAL
Abstract
We study a recently developed technique based on the application of flat histogram ideas to quantum Monte Carlo. We use this technique to make the histogram of the single-particle Green's function flat as a function of the imaginary time, and the stochastic analytical inference technique to obtain the spectral functions for the $t-J$ model. We find that this application of the flat histogram idea to the quantum Monte Carlo method dramatically improves the quality of the results of the analytic continuation.
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Authors
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Efstratios Manousakis
Florida State University, Department of Physics, Florida State University and University of Athens, Florida State University \& NHMFL, Florida State Univ
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Nikolaos Diamantis
Department of Physics, University of Athens