Precise extrapolation of the correlation function asymptotics in uniform tensor network states with application to the Bose-Hubbard and XXZ models
Marek M. Rams, Piotr Czarnik, Lukasz Cincio

TL;DR
This paper introduces a novel extrapolation method to accurately determine the correlation length from tensor network states, significantly improving precision near critical points in quantum models like Bose-Hubbard and XXZ.
Contribution
The authors develop a new extrapolation technique that corrects for underestimation of correlation lengths in tensor network simulations, enabling precise asymptotic analysis of correlation functions.
Findings
Reduces correlation length estimation error by ~100 times
Successfully applied to 1D and 2D models including XXZ and Bose-Hubbard
Accurately identifies critical points and asymptotic behavior
Abstract
We analyze the problem of extracting the correlation length from infinite matrix product states (MPS) and corner transfer matrix (CTM) simulations. When the correlation length is calculated directly from the transfer matrix, it is typically significantly underestimated for finite bond dimensions used in numerical simulation. This is true even when one considers ground states at a distance from the critical point. We introduce extrapolation procedure to overcome this problem. To that end we quantify how much the dominant part of the MPS/CTM transfer matrix spectrum deviates from being continuous. The latter is necessary to capture the exact asymptotics of the correlation function where the exponential decay is typically modified by an additional algebraic term. By extrapolating such a refinement parameter to zero, we show that we are able to recover the exact value of the correlation…
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