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How to calculate quantum quench distributions with a weighted Wang-Landau Monte Carlo

Academic Article
Publication Date:
2015
abstract:
We present here an extension of the Wang-Landau Monte Carlo method which allows us to get very accurate estimates of the full probability distributions of several observables after a quantum quench for large systems, whenever the relevant matrix elements are calculable, but the full exponential complexity of the Hilbert space would make an exhaustive enumeration impossible beyond very limited sizes. We apply this method to quenches of free-fermion models with disorder, further corroborating the fact that a generalized Gibbs ensemble fails to capture the long-time average of many-body operators when disorder is present.
Iris type:
01.01 Articolo in rivista
Keywords:
sampling algorithms and rapid mixing quantum quenches thermalization
List of contributors:
Santoro, GIUSEPPE ERNESTO
Handle:
https://iris.cnr.it/handle/20.500.14243/341876
Published in:
JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT
Journal
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http://www.scopus.com/inward/record.url?eid=2-s2.0-84937934547&partnerID=q2rCbXpz
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