English

Numerical evidence for many-body localization in two and three dimensions

Disordered Systems and Neural Networks 2021-05-19 v2

Abstract

Disorder and interactions can lead to the breakdown of statistical mechanics in certain quantum systems, a phenomenon known as many-body localization (MBL). Much of the phenomenology of MBL emerges from the existence of \ell-bits, a set of conserved quantities that are quasilocal and binary (i.e., possess only ±1\pm 1 eigenvalues). While MBL and \ell-bits are known to exist in one-dimensional systems, their existence in dimensions greater than one is a key open question. To tackle this question, we develop an algorithm that can find approximate binary \ell-bits in arbitrary dimensions by adaptively generating a basis of operators in which to represent the \ell-bit. We use the algorithm to study four models: the one-, two-, and three-dimensional disordered Heisenberg models and the two-dimensional disordered hard-core Bose-Hubbard model. For all four of the models studied, our algorithm finds high-quality \ell-bits at large disorder strength and rapid qualitative changes in the distributions of \ell-bits in particular ranges of disorder strengths, suggesting the existence of MBL transitions. These transitions in the one-dimensional Heisenberg model and two-dimensional Bose-Hubbard model coincide well with past estimates of the critical disorder strengths in these models which further validates the evidence of MBL phenomenology in the other two and three-dimensional models we examine. In addition to finding MBL behavior in higher dimensions, our algorithm can be used to probe MBL in various geometries and dimensionality.

Keywords

Cite

@article{arxiv.2007.02959,
  title  = {Numerical evidence for many-body localization in two and three dimensions},
  author = {Eli Chertkov and Benjamin Villalonga and Bryan K. Clark},
  journal= {arXiv preprint arXiv:2007.02959},
  year   = {2021}
}

Comments

main paper: 7 pages, 4 figures; supplement: 29 pages, 24 figures; added figures to supplement and made minor changes to main paper

R2 v1 2026-06-23T16:53:39.332Z