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Quantifying memory in spin glasses

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arxiv 2307.02224 v2 pith:HCLAWYMI submitted 2023-07-05 cond-mat.dis-nn

Quantifying memory in spin glasses

Janus Collaboration: I. Paga , J. He , M. Baity-Jesi , E. Calore , A. Cruz , L.A. Fernandez , J.M. Gil-Narvion , I. Gonzalez-Adalid Pemartin
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A. Gordillo-Guerrero D. I\~niguez A. Maiorano E. Marinari V. Martin-Mayor J. Moreno-Gordo A. Mu\~noz Sudupe D. Navarro R.L. Orbach G. Parisi S. Perez-Gaviro F. Ricci-Tersenghi J.J. Ruiz-Lorenzo S.F. Schifano D.L. Schlagel B. Seoane A. Tarancon D. Yllanes
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classification cond-mat.dis-nn
keywords memorybeencoefficientsglassesrecentlysimulationsspinanalysis
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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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