Flat histogram quantum Monte Carlo for analytic continuation to real time
Abstract
The Quantum Monte Carlo (QMC) method can yield the imaginary-time dependence of a correlation function C(τ) of an operator O. The analytic continuation to real-time proceeds by means of a "numerical inversion" of these data to find the response function or spectral density A(ω) corresponding to O. Such a technique is very sensitive to the statistical errors in C(τ) especially for large values of τ, when we are interested in the low-energy excitations. In this paper, we find that if we use the flat histogram technique in the QMC method, in such a way to make the histogram of C(τ) flat, the results of the analytic continuation for low-energy excitations improve using the same amount of computational time. To demonstrate the idea we select an exactly soluble version of the single-hole motion in the t-J model and the diagrammatic Monte Carlo technique.
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