English

Signatures of multifractality in a periodically driven interacting Aubry-Andr\'{e} model

Disordered Systems and Neural Networks 2022-01-21 v1 Statistical Mechanics

Abstract

We study the many-body localization (MBL) transition of Floquet eigenstates in a driven, interacting fermionic chain with an incommensurate Aubry-Andr\'{e} potential and a time-periodic hopping amplitude as a function of the drive frequency ωD\omega_D using exact diagonalization (ED). We find that the nature of the Floquet eigenstates change from ergodic to Floquet-MBL with increasing frequency; moreover, for a significant range of intermediate ωD\omega_D, the Floquet eigenstates exhibit non-trivial fractal dimensions. We find a possible transition from the ergodic to this multifractal phase followed by a gradual crossover to the MBL phase as the drive frequency is increased. We also study the fermion auto-correlation function, entanglement entropy, normalized participation ratio (NPR), fermion transport and the inverse participation ratio (IPR) as a function of ωD\omega_D. We show that the auto-correlation, fermion transport and NPR displays qualitatively different characteristics (compared to their behavior in the ergodic and MBL regions) for the range of ωD\omega_D which supports multifractal eigenstates. In contrast, the entanglement growth in this frequency range tend to have similar features as in the MBL regime; its rate of growth is controlled by ωD\omega_D. Our analysis thus indicates that the multifractal nature of Floquet-MBL eigenstates can be detected by studying auto-correlation function and fermionic transport of these driven chains. We support our numerical results with a semi-analytic expression of the Floquet Hamiltonian obtained using Floquet perturbation theory (FPT) and discuss possible experiments which can test our predictions.

Keywords

Cite

@article{arxiv.2107.11395,
  title  = {Signatures of multifractality in a periodically driven interacting Aubry-Andr\'{e} model},
  author = {Madhumita Sarkar and Roopayan Ghosh and Arnab Sen and K. Sengupta},
  journal= {arXiv preprint arXiv:2107.11395},
  year   = {2022}
}

Comments

16 pages , 15 figures