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)

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