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Preprints, Working Papers, ... Year : 2023

Quantifying memory in spin glasses

Beatriz Seoane

Abstract

Rejuvenation and memory, long considered the distinguishing features of spin glasses, have recently been proven to result from the growth of multiple length scales. This insight, enabled by simulations on the Janus~II supercomputer, has opened the door to a quantitative analysis. We combine numerical simulations with comparable experiments to introduce two coefficients that quantify memory. A third coefficient has been recently presented by Freedberg et al. We show that these coefficients are physically equivalent by studying their temperature and waiting-time dependence.

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hal-04344048 , version 1 (14-12-2023)

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Ilaria Paga, Jian He, Marco Baity-Jesi, Enrico Calore, Andrés Cruz, et al.. Quantifying memory in spin glasses. 2023. ⟨hal-04344048⟩
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