Published July 8, 2024 | Version v1
Journal article

Cross-extrapolation reconstruction of low-rank functions and application to quantum many-body observables in the strong coupling regime

  • 1. Université Grenoble Alpes, CEA, Grenoble INP, IRIG, Pheliqs, F-38000 Grenoble, France
  • 2. Université Grenoble Alpes, CNRS, Institut Néel, 38000 Grenoble, France
  • 3. Center for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USA
  • 4. Université Paris-Saclay, CNRS, CEA, Institut de physique théorique, 91191 Gif-sur-Yvette, France

Description

We present a general-purpose algorithm to extrapolate a low-rank function of two variables from a small domain to a larger one. It is based on the cross-interpolation formula. We apply it to reconstruct physical quantities in some quantum many-body perturbative expansions in the real-time Keldysh formalism, considered as a function of time t and interaction U. These functions are of remarkably low rank. This property, combined with the convergence of the perturbative expansion in U both at finite t (for any U), and small U (for any t), is sufficient for our algorithm to reconstruct the physical quantity at long time, strong coupling regime. Our method constitutes an alternative to standard resummation techniques in perturbative methods, such as diagrammatic quantum Monte Carlo. We benchmark it on the single impurity Anderson model and show that it is successful even in some regime where standard conformal mapping resummation techniques fail.

Additional details

Identifiers

DOI
10.1103/PhysRevB.110.035124;
arXiv
arXiv:2401.05547;
Crossref Funder ID
10.13039/100000893; 10.13039/501100001665;

Publishing Information

Journal Title
Physical Review B
Journal Volume
110
Journal Issue
3
Journal Page Range
13 pgs.
ISSN
1550-235X

Optional Information

Copyright
©2024 American Physical Society
Contract/Grant/Project number
ANR-22-PETQ-0007
Notes
Contact Email: matt.jeannin@gmail.com; Contact Email: xavier.waintal@cea.fr; Record automatically processed
Funding organization
Simons Foundation; Agence Nationale de la Recherche