Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/172727
Title: | Probing Thermalization through Spectral Analysis with Matrix Product Operators |
Author: | Yang, Yilun Iblisdir, Sofyan Cirac, Juan Ignacio Bañuls, Mari Carmen |
Keywords: | Matèria condensada Física estadística Condensed matter Statistical physics |
Issue Date: | 10-Mar-2020 |
Publisher: | American Physical Society |
Abstract: | We combine matrix product operator techniques with Chebyshev polynomial expansions and present a method that is able to explore spectral properties of quantum many-body Hamiltonians. In particular, we show how this method can be used to probe thermalization of large spin chains without explicitly simulating their time evolution, as well as to compute full and local densities of states. The performance is illustrated with the examples of the Ising and PXP spin chains. For the nonintegrable Ising chain, our findings corroborate the presence of thermalization for several initial states, well beyond what direct timedependent simulations have been able to achieve so far. |
Note: | Reproducció del document publicat a: https://doi.org/10.1103/PhysRevLett.124.100602 |
It is part of: | Physical Review Letters, 2020, vol. 124, num. 10, p. 100602 |
URI: | http://hdl.handle.net/2445/172727 |
Related resource: | https://doi.org/10.1103/PhysRevLett.124.100602 |
ISSN: | 0031-9007 |
Appears in Collections: | Articles publicats en revistes (Institut de Ciències del Cosmos (ICCUB)) Articles publicats en revistes (Física Quàntica i Astrofísica) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
700082.pdf | 371.52 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License