English

Spectral tensor networks for many-body localization

Disordered Systems and Neural Networks 2015-07-08 v1 Statistical Mechanics Quantum Physics

Abstract

Subsystems of strongly disordered, interacting quantum systems can fail to thermalize because of the phenomenon of many-body localization (MBL). In this article, we explore a tensor network description of the eigenspectra of such systems. Specifically, we will argue that the presence of a complete set of local integrals of motion in MBL implies an efficient representation of the entire spectrum of energy eigenstates with a single tensor network, a \emph{spectral} tensor network. Our results are rigorous for a class of idealized systems related to MBL with integrals of motion of finite support. In one spatial dimension, the spectral tensor network allows for the efficient computation of expectation values of a large class of operators (including local operators and string operators) in individual energy eigenstates and in ensembles.

Keywords

Cite

@article{arxiv.1410.0687,
  title  = {Spectral tensor networks for many-body localization},
  author = {A. Chandran and J. Carrasquilla and I. H. Kim and D. A. Abanin and G. Vidal},
  journal= {arXiv preprint arXiv:1410.0687},
  year   = {2015}
}

Comments

7 pages, 6 figures

R2 v1 2026-06-22T06:12:02.857Z