Correlation Functions From Tensor Network Influence Functionals: The Case of the Spin-Boson Model

Fuente: arXiv
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Main Authors: Nguyen, Haimi, Ng, Nathan, Lindoy, Lachlan P., Park, Gunhee, Millis, Andrew J., Chan, Garnet Kin-Lic, Reichman, David R.
Format: Preprint
Published: 2024
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author Nguyen, Haimi
Ng, Nathan
Lindoy, Lachlan P.
Park, Gunhee
Millis, Andrew J.
Chan, Garnet Kin-Lic
Reichman, David R.
author_facet Nguyen, Haimi
Ng, Nathan
Lindoy, Lachlan P.
Park, Gunhee
Millis, Andrew J.
Chan, Garnet Kin-Lic
Reichman, David R.
contents We investigate the application of matrix product state (MPS) representations of the influence functionals (IF) for the calculation of real-time equilibrium correlation functions in open quantum systems. Focusing specifically on the unbiased spin-boson model, we explore the use of IF-MPSs for complex time propagation, as well as IF-MPSs for constructing correlation functions in the steady state. We examine three different IF approaches: one based on the Kadanoff-Baym contour targeting correlation functions at all times, one based on a complex contour targeting the correlation function at a single time, and a steady state formulation which avoids imaginary or complex times, while providing access to correlation functions at all times. We show that within the IF language, the steady state formulation provides a powerful approach to evaluate equilibrium correlation functions.
format Preprint
id arxiv_https___arxiv_org_abs_2406_15737
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Correlation Functions From Tensor Network Influence Functionals: The Case of the Spin-Boson Model
Nguyen, Haimi
Ng, Nathan
Lindoy, Lachlan P.
Park, Gunhee
Millis, Andrew J.
Chan, Garnet Kin-Lic
Reichman, David R.
Chemical Physics
Strongly Correlated Electrons
We investigate the application of matrix product state (MPS) representations of the influence functionals (IF) for the calculation of real-time equilibrium correlation functions in open quantum systems. Focusing specifically on the unbiased spin-boson model, we explore the use of IF-MPSs for complex time propagation, as well as IF-MPSs for constructing correlation functions in the steady state. We examine three different IF approaches: one based on the Kadanoff-Baym contour targeting correlation functions at all times, one based on a complex contour targeting the correlation function at a single time, and a steady state formulation which avoids imaginary or complex times, while providing access to correlation functions at all times. We show that within the IF language, the steady state formulation provides a powerful approach to evaluate equilibrium correlation functions.
title Correlation Functions From Tensor Network Influence Functionals: The Case of the Spin-Boson Model
topic Chemical Physics
Strongly Correlated Electrons
url https://arxiv.org/abs/2406.15737