Quantifying Memory in Spin Glasses

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 numerica...

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Veröffentlicht in:Physical review letters 2024-12, Vol.133 (25), p.256704, Article 256704
Hauptverfasser: Paga, I, He, J, Baity-Jesi, M, Calore, E, Cruz, A, Fernandez, L A, Gil-Narvion, J M, Gonzalez-Adalid Pemartin, I, Gordillo-Guerrero, A, Iñiguez, D, Maiorano, A, Marinari, E, Martin-Mayor, V, Moreno-Gordo, J, Muñoz Sudupe, A, Navarro, D, Orbach, R L, Parisi, G, Perez-Gaviro, S, Ricci-Tersenghi, F, Ruiz-Lorenzo, J J, Schifano, S F, Schlagel, D L, Seoane, B, Tarancon, A, Yllanes, D
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Sprache:eng
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Zusammenfassung: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.
ISSN:0031-9007
1079-7114
1079-7114
DOI:10.1103/PhysRevLett.133.256704