Haque, Masudul and McClarty, Paul A.
(2017)
Eigenstate Thermalization Scaling in Majorana Clusters: from Chaotic to Integrable Sachdev-Ye-Kitaev Models.
Working Paper.
arXiv.
Abstract
The eigenstate thermalization hypothesis (ETH) is a conjecture on the nature of isolated quantum systems that guarantees the thermal behavior of subsystems when it is satisfied. ETH has been tested in various forms on a number of local many-body interacting systems. Here we examine the validity of ETH in a class of nonlocal disordered many-body interacting systems --- the Sachdev-Ye-Kitaev Majorana (SYK) models --- that may be tuned from chaotic behavior to integrability. Our analysis shows that SYK4 (with quartic couplings), which is maximally chaotic in the large system size limit, satisfies the standard ETH scaling while SYK2 (with quadratic couplings), which is integrable, does not. We show that the low-energy and high-energy properties are affected drastically differently when the two Hamiltonians are mixed.
Item Type: |
Monograph
(Working Paper)
|
Additional Information: |
Cite this version as: arXiv:1711.02360. This is the preprint version of the published article, which is available at Eigenstate thermalization scaling in Majorana clusters: From chaotic to integrable Sachdev-Ye-Kitaev models
Masudul Haque and P. A. McClarty
Phys. Rev. B 100, 115122 – Published 12 September 2019 DOI:https://doi.org/10.1103/PhysRevB.100.115122 |
Keywords: |
Eigenstate Thermalization Scaling; Majorana Clusters; Sachdev-Ye-Kitaev Models; isolated quantum systems; |
Academic Unit: |
Faculty of Science and Engineering > Experimental Physics |
Item ID: |
10559 |
Identification Number: |
arxiv.org/abs/1711.02360 |
Depositing User: |
Masud Haque
|
Date Deposited: |
21 Feb 2019 17:11 |
Publisher: |
arXiv |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
Repository Staff Only(login required)
|
Item control page |
Downloads per month over past year
Origin of downloads