English

Many-body localization in long range model: Real space renormalization group study

Disordered Systems and Neural Networks 2020-05-21 v2 Quantum Gases Statistical Mechanics

Abstract

We develop a real space renormalization group (RSRG) scheme by appropriately inserting the long range hopping trαt\sim r^{-\alpha} with nearest neighbour interaction to study the entanglement entropy and maximum block size for many-body localization (MBL) transition. We show that for α<2\alpha<2 there exists a localization transition with renormalized disorder that depends logarithmically on the finite size of the system. The transition observed for α>2\alpha>2 does not need a rescaling in disorder strength. Most importantly, we find that even though the MBL transition for α>2\alpha >2 falls in the same universality class as that of the short-range models, while transition for α<2\alpha<2 belongs to a different universality class. {Due to the intrinsic nature of the RSRG flow towards delocalization, MBL phase for α>2\alpha>2 might suffer an instability in the thermodynamic limit while the underlying systems support algebraic localization. Moreover, we verify these findings by inserting microscopic details to the RSRG scheme where we additionally find a more appropriate rescaling function for disorder strength; we indeed uncover a power law scaling with a logarithmic correction and a distinctly different stretched exponential scaling for α<2\alpha<2 and α>2\alpha>2, respectively, by analyzing system with finite size. This finding further suggests that microscopic RSRG scheme is able to give a hint of instability of the MBL phase for α>2\alpha>2 even considering systems of finite size.

Keywords

Cite

@article{arxiv.1907.13203,
  title  = {Many-body localization in long range model: Real space renormalization group study},
  author = {Ranjan Modak and Tanay Nag},
  journal= {arXiv preprint arXiv:1907.13203},
  year   = {2020}
}

Comments

13 pages and 9 figures

R2 v1 2026-06-23T10:35:24.366Z