Critical Level Statistics at the Many-Body Localization Transition Region

TL;DR

This paper investigates the critical level statistics at the many-body localization transition in random spin systems, revealing universal patterns and their relation to the spectrum of Poisson ensembles.

Contribution

It identifies the transition point using inter-sample randomness and characterizes the critical level statistics with short-range plasma models, highlighting universality across different models.

Findings

Critical level statistics fit the SRPM with specific inverse temperatures.

Transition points are accurately located using inter-sample randomness.

Critical distributions can originate from Poisson spectra, emphasizing the MBL phase's influence.

Abstract

We study the critical level statistics at the many-body localization (MBL) transition region in random spin systems. By employing the inter-sample randomness as indicator, we manage to locate the MBL transition point in both orthogonal and unitary models. We further count the $n$-th order gap ratio distributions at the transition region up to $n=4$, and find they fit well with the short-range plasma model (SRPM) with inverse temperature $\beta =1$ for orthogonal model and $\beta =2$ for unitary. These critical level statistics are argued to be universal by comparing results from systems both with and without total $S_{z}$ conservation. We also point out that these critical distributions can emerge from the spectrum of a Poisson ensemble, which indicates the thermal-MBL transition point is more affected by the MBL phase rather than thermal phase.