Tensor cross interpolation approach for quantum impurity problems based on the weak-coupling expansion

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Matsuura, Shuta, Shinaoka, Hiroshi, Werner, Philipp, Tsuji, Naoto
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866916715965710336
author Matsuura, Shuta
Shinaoka, Hiroshi
Werner, Philipp
Tsuji, Naoto
author_facet Matsuura, Shuta
Shinaoka, Hiroshi
Werner, Philipp
Tsuji, Naoto
contents We apply the tensor cross interpolation (TCI) algorithm to solve equilibrium quantum impurity problems with high precision based on the weak-coupling expansion. The TCI algorithm, a kind of active learning method, factorizes high-dimensional integrals that appear in the perturbative expansion into a product of low-dimensional ones, enabling us to evaluate higher-order terms efficiently. This method is free from the sign problem which quantum Monte Carlo methods sometimes suffer from, and allows one to directly calculate the free energy. We benchmark the TCI impurity solver on an exactly solvable impurity model, and find good agreement with the exact solutions. We also incorporate the TCI impurity solver into the dynamical mean-field theory to solve the Hubbard model, and show that the metal-to-Mott insulator transition is correctly described with comparable accuracy to the Monte Carlo methods. Behind the effectiveness of the TCI approach for quantum impurity problems lies the fact that the integrands in the weak-coupling expansion naturally have a low-rank structure in the tensor-train representation.
format Preprint
id arxiv_https___arxiv_org_abs_2501_12643
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tensor cross interpolation approach for quantum impurity problems based on the weak-coupling expansion
Matsuura, Shuta
Shinaoka, Hiroshi
Werner, Philipp
Tsuji, Naoto
Strongly Correlated Electrons
We apply the tensor cross interpolation (TCI) algorithm to solve equilibrium quantum impurity problems with high precision based on the weak-coupling expansion. The TCI algorithm, a kind of active learning method, factorizes high-dimensional integrals that appear in the perturbative expansion into a product of low-dimensional ones, enabling us to evaluate higher-order terms efficiently. This method is free from the sign problem which quantum Monte Carlo methods sometimes suffer from, and allows one to directly calculate the free energy. We benchmark the TCI impurity solver on an exactly solvable impurity model, and find good agreement with the exact solutions. We also incorporate the TCI impurity solver into the dynamical mean-field theory to solve the Hubbard model, and show that the metal-to-Mott insulator transition is correctly described with comparable accuracy to the Monte Carlo methods. Behind the effectiveness of the TCI approach for quantum impurity problems lies the fact that the integrands in the weak-coupling expansion naturally have a low-rank structure in the tensor-train representation.
title Tensor cross interpolation approach for quantum impurity problems based on the weak-coupling expansion
topic Strongly Correlated Electrons
url https://arxiv.org/abs/2501.12643