Quantifying memory in spin glasses
Disordered Systems and Neural Networks
2025-02-13 v2
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.
Cite
@article{arxiv.2307.02224,
title = {Quantifying memory in spin glasses},
author = {Janus Collaboration and I. Paga and J. He and M. Baity-Jesi and E. Calore and A. Cruz and L. A. Fernandez and J. M. Gil-Narvion and I. Gonzalez-Adalid Pemartin and A. Gordillo-Guerrero and D. Iñiguez and A. Maiorano and E. Marinari and V. Martin-Mayor and J. Moreno-Gordo and A. Muñoz Sudupe and D. Navarro and R. L. Orbach and G. Parisi and S. Perez-Gaviro and F. Ricci-Tersenghi and J. J. Ruiz-Lorenzo and S. F. Schifano and D. L. Schlagel and B. Seoane and A. Tarancon and D. Yllanes},
journal= {arXiv preprint arXiv:2307.02224},
year = {2025}
}
Comments
10 pages, 8 figures