Minimal pole representation for spectral functions

Abstract

Representing spectral densities, real-frequency, and real-time Green's functions of continuous systems by a small discrete set of complex poles is an ubiquitous problem in condensed matter physics, with applications ranging from quantum transport simulations to the simulation of strongly correlated electron systems. This paper introduces a method for obtaining a compact, approximate representation of these functions, based on their parameterization on the real axis and a given approximate precision. We show applications to typical spectral functions and results for structured and unstructured correlation functions of model systems.

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Cited by in corpus (4)

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• Compact representation and long-time extrapolation of real-time data for quantum systems using the ESPRIT algorithm
• Multi-orbital dynamical mean-field theory with a complex-time solver
• Automated evaluation of imaginary time strong coupling diagrams by sum-of-exponentials hybridization fitting