SciPost Submission Page
Spectral statistics of a minimal quantum glass model
by Richard Barney, Michael Winer, Christopher L. Baldwin, Brian Swingle, Victor Galitski
This is not the latest submitted version.
Submission summary
| Authors (as registered SciPost users): | Richard Barney |
| Submission information | |
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| Preprint Link: | https://arxiv.org/abs/2302.00703v2 (pdf) |
| Date submitted: | April 14, 2023, 3:57 p.m. |
| Submitted by: | Richard Barney |
| Submitted to: | SciPost Physics |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
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| Approaches: | Theoretical, Computational |
Abstract
Glasses have the interesting feature of being neither integrable nor fully chaotic. They thermalize quickly within a subspace but thermalize much more slowly across the full space due to high free energy barriers which partition the configuration space into sectors. Past works have examined the Rosenzweig-Porter (RP) model as a minimal quantum model which transitions from localized to chaotic behavior. In this work we generalize the RP model in such a way that it becomes a minimal model which transitions from glassy to chaotic behavior, which we term the "Block Rosenzweig-Porter" (BRP) model. We calculate the spectral form factors of both models at all timescales. Whereas the RP model exhibits a crossover from localized to ergodic behavior at the Thouless timescale, the new BRP model instead crosses over from glassy to fully chaotic behavior, as seen by a change in the slope of the ramp of the spectral form factor.
Current status:
Reports on this Submission
Report #1 by Anonymous (Referee 2) on 2023-5-18 (Invited Report)
- Cite as: Anonymous, Report on arXiv:2302.00703v2, delivered 2023-05-18, doi: 10.21468/SciPost.Report.7198
Strengths
2 - Exact results for spectral statistics, i.e., the spectral form factor.
4 - Clear exposition of technical computations.
5 - Solid back up of analytical computations with numerical results.
Weaknesses
2 - Despite the clear exposition of the derivation, some technical steps are still not easy to follow.
Report
Despite its technicality, the authors provide a clear exposition of their derivation and back up their results with solid numerical data. Moreover, they provide some intuition about their results, e.g., in terms of localization properties of eigenstates, thereby making the paper more accessible.
The block RP model and its spectral statistics shed some light in how random matrix behavior emerges from and depends on the interaction of individual blocks, which is both interesting on its own and potentially applies also to more realistic physical systems. I am therefore convinced that the paper easily meets the criteria for publication and recommend publication after some very minor revision.
Requested changes
1 - Below Eq. (57) the authors restrict to times smaller than the Heisenberg time for the computation of the spectral form factor (SFF) in the RP model, stating that for larger times the SFF has reached its plateau. In Fig. 4. the latter is not the case for small coupling parameter Lambda, but the expression (66) accurately describes the SFF even for times larger than Heisenberg time. Could the authors comment on why their results matches numerics so well in a time regime which seems to be excluded in the derivation of (66)?
Report #2 by Anonymous (Referee 1) on 2023-5-17 (Invited Report)
- Cite as: Anonymous, Report on arXiv:2302.00703v2, delivered 2023-05-17, doi: 10.21468/SciPost.Report.7208
Strengths
- Comprehensive analysis of the spectral form factor in the RP matrix model and a new "glassy" generalization involving block matrices.
- Good introduction and summary.
- Nice plots show impressive agreement of numerics and analytics across many timescales.
Weaknesses
- The model's analytical treatment is nice but not easy to follow.
Report
The analysis is very detailed and comprehensive. The spectral form factor is computed and fully analysed both numerically and analytically for the RP model first. The authors then do the same for the block-RP model. The analysis of different relevant time scales and phases is done carefully and comprehensively. Extensive calculations and results are presented in the main text, which makes the bulk of the paper somewhat tough to digest. Nevertheless, a detailed summary and introduction with schematic plots make the results accessible.
It seems that the paper was written with great care. The results are interesting as they provide a potentially useful model for studying the chaos/glass transition in a tractable model that shares some basic features with realistic systems. I recommend publication of the manuscript as it is.
