English

Localization Dynamics from Static and Mobile Impurities

Strongly Correlated Electrons 2021-09-17 v3 Disordered Systems and Neural Networks High Energy Physics - Theory Quantum Physics

Abstract

We study the superfluid response and localization dynamics from static and mobile impurities. The superfluidity is formed in the rung-Mott phase of a bosonic ladder model producing spin-Meissner currents induced by a U(1)\mathbb{U}(1) gauge field or a uniform magnetic field. Impurities are described through two-state systems which act as a two-peak random potential. An impurity sits either at the top or at the bottom of the ladder on each rung equally, producing a telegraph signal. The impurities-matter coupling gives rise to a classical Ising symmetry for static and mobile impurities associated to the inversion symmetry of the two legs of the ladder. From the decoupled rungs limit, we also identify a local Z2\mathbb{Z}_2 gauge theory for mobile impurities. The properties of the system are studied from an effective quantum spin model including the possibility of four-body coupling in the limit of a strong interaction between bosons and impurities. Through analytical approaches and numerical exact diagonalization, we study the superfluid currents both in the weakly-coupled and strongly-coupled rungs limits for the bosons. In the weakly-coupled rungs situation, we find a smooth power-law localization whereas the strongly-coupled rungs limit produces a steep localization or insulating phase for various configurations of the two-peak random potential. In the strongly disordered situation, through entanglement and bipartite fluctuation measures, we also identify a many-body localization regime in time after a quench of the system when prepared in a N\' eel state.

Keywords

Cite

@article{arxiv.2101.06420,
  title  = {Localization Dynamics from Static and Mobile Impurities},
  author = {Ephraim Bernhardt and Fan Yang and Karyn Le Hur},
  journal= {arXiv preprint arXiv:2101.06420},
  year   = {2021}
}

Comments

28 pages, 16 figures

R2 v1 2026-06-23T22:13:35.139Z