Complex Time Evolution in Tensor Networks

Fuente: arXiv
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Autori principali: Grundner, M., Westhoff, P., Kugler, F. B., Parcollet, O., Schollwöck, U.
Natura: Preprint
Pubblicazione: 2023
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author Grundner, M.
Westhoff, P.
Kugler, F. B.
Parcollet, O.
Schollwöck, U.
author_facet Grundner, M.
Westhoff, P.
Kugler, F. B.
Parcollet, O.
Schollwöck, U.
contents Real-time calculations in tensor networks are strongly limited in time by entanglement growth, restricting the achievable frequency resolution of Green's functions, spectral functions, self-energies, and other related quantities. By extending the time evolution to contours in the complex plane, entanglement growth is curtailed, enabling numerically efficient high-precision calculations of time-dependent correlators and Green's functions with detailed frequency resolution. Various approaches to time evolution in the complex plane and the required post-processing for extracting the pure real-time and frequency information are compared. We benchmark our results on the examples of the single-impurity Anderson model using matrix-product states and of the three-band Hubbard-Kanamori and Dworin-Narath models using a tree tensor network. Our findings indicate that the proposed methods are also applicable to challenging realistic calculations of materials.
format Preprint
id arxiv_https___arxiv_org_abs_2312_11705
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Complex Time Evolution in Tensor Networks
Grundner, M.
Westhoff, P.
Kugler, F. B.
Parcollet, O.
Schollwöck, U.
Strongly Correlated Electrons
Materials Science
Quantum Physics
Real-time calculations in tensor networks are strongly limited in time by entanglement growth, restricting the achievable frequency resolution of Green's functions, spectral functions, self-energies, and other related quantities. By extending the time evolution to contours in the complex plane, entanglement growth is curtailed, enabling numerically efficient high-precision calculations of time-dependent correlators and Green's functions with detailed frequency resolution. Various approaches to time evolution in the complex plane and the required post-processing for extracting the pure real-time and frequency information are compared. We benchmark our results on the examples of the single-impurity Anderson model using matrix-product states and of the three-band Hubbard-Kanamori and Dworin-Narath models using a tree tensor network. Our findings indicate that the proposed methods are also applicable to challenging realistic calculations of materials.
title Complex Time Evolution in Tensor Networks
topic Strongly Correlated Electrons
Materials Science
Quantum Physics
url https://arxiv.org/abs/2312.11705