2016
DOI: 10.1103/physrevb.93.094404
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Classical mutual information in mean-field spin glass models

Abstract: We investigate the classical Rényi entropy Sn and the associated mutual information In in the SherringtonKirkpatrick (S-K) model, which is the paradigm model of mean-field spin glasses. Using classical Monte Carlo simulations and analytical tools we investigate the S-K model on the n-sheets booklet. This is obtained by gluing together n independent copies of the model, and it is the main ingredient to construct the Rényi entanglementrelated quantities. We find a glassy phase at low temperature, whereas at high… Show more

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Cited by 7 publications
(11 citation statements)
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“…The non-equilibrium features of the entanglement in these random spin chains are also under intensive investigation 51,[68][69][70][71][72][73][74][75] . The behavior of entanglement related quantities in classical disordered spin systems has been explored 76 .…”
Section: Introductionmentioning
confidence: 99%
“…The non-equilibrium features of the entanglement in these random spin chains are also under intensive investigation 51,[68][69][70][71][72][73][74][75] . The behavior of entanglement related quantities in classical disordered spin systems has been explored 76 .…”
Section: Introductionmentioning
confidence: 99%
“…A relation to the Casimir energy problem is also established in 14,15 . The FP can be also used to find the Shannon entropy with plethora of applications in the studies of quantum phase transitions, see [18][19][20][21][22][23][24][25][26][27][28] .…”
Section: Introductionmentioning
confidence: 99%
“…This method has been successfully applied in a number of classical systems. [11][12][13][14][15][16][17][18][19] The physical reason for information quantities to be able to detect phase transitions is the deep connection between certain measurable thermodynamic quantities and principles of information theory. In fact, information can be quantified in terms of entropy, which in turn can be defined from thermodynamic observables.…”
Section: Introductionmentioning
confidence: 99%