Many body localization and thermalization: insights from the entanglement spectrum
Scott D. Geraedts, Rahul Nandkishore, Nicolas Regnault

TL;DR
This paper investigates the entanglement spectrum in many-body localized and thermal phases, revealing level statistics and structures beyond entanglement entropy, with implications for understanding thermalization and localization transitions.
Contribution
It provides a detailed analysis of the entanglement spectrum's level statistics in both Hamiltonian and Floquet systems, highlighting new structures and their relation to ETH and localization.
Findings
Thermalizing phase entanglement spectrum follows random matrix level statistics.
Many-body localized phase shows semi-Poisson level distribution in entanglement spectrum.
Results are consistent across single eigenstates and microcanonical averages.
Abstract
We study the entanglement spectrum in the many body localizing and thermalizing phases of one and two dimensional Hamiltonian systems, and periodically driven `Floquet' systems. We focus on the level statistics of the entanglement spectrum as obtained through numerical diagonalization, finding structure beyond that revealed by more limited measures such as entanglement entropy. In the thermalizing phase the entanglement spectrum obeys level statistics governed by an appropriate random matrix ensemble. For Hamiltonian systems this can be viewed as evidence in favor of a strong version of the eigenstate thermalization hypothesis (ETH). Similar results are also obtained for Floquet systems, where they constitute a result `beyond ETH', and show that the corrections to ETH governing the Floquet entanglement spectrum have statistical properties governed by a random matrix ensemble. The…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
