English

Strong-Disorder Renormalization Group for Periodically Driven Systems

Disordered Systems and Neural Networks 2018-11-12 v2 Statistical Mechanics Strongly Correlated Electrons

Abstract

Quenched randomness can lead to robust non-equilibrium phases of matter in periodically driven (Floquet) systems. Analyzing transitions between such dynamical phases requires a method capable of treating the twin complexities of disorder and discrete time-translation symmetry. We introduce a real-space renormalization group approach, asymptotically exact in the strong-disorder limit, and exemplify its use on the periodically driven interacting quantum Ising model. We analyze the universal physics near the critical lines and multicritical point of this model, and demonstrate the robustness of our results to the inclusion of weak interactions.

Keywords

Cite

@article{arxiv.1807.09767,
  title  = {Strong-Disorder Renormalization Group for Periodically Driven Systems},
  author = {William Berdanier and Michael Kolodrubetz and S. A. Parameswaran and Romain Vasseur},
  journal= {arXiv preprint arXiv:1807.09767},
  year   = {2018}
}

Comments

11 pages, 6 figures; published version

R2 v1 2026-06-23T03:14:23.858Z