Buchumschlag

Quantifying memory in spin glasses

Fuente: arXiv

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Bibliographische Detailangaben
Hauptverfasser:	Janus Collaboration, Paga, I., He, J., Baity-Jesi, M., Calore, E., Cruz, A., Fernandez, L. A., Gil-Narvion, J. M., Pemartin, I. Gonzalez-Adalid, Gordillo-Guerrero, A., Iñiguez, D., Maiorano, A., Marinari, E., Martin-Mayor, V., Moreno-Gordo, J., Sudupe, A. Muñoz, 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.
Format:	Preprint
Veröffentlicht:	2023
Schlagworte:	Disordered Systems and Neural Networks
Online-Zugang:	Acceder al recurso
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_version_	1866912230065307648
author	Janus Collaboration Paga, I. He, J. Baity-Jesi, M. Calore, E. Cruz, A. Fernandez, L. A. Gil-Narvion, J. M. Pemartin, I. Gonzalez-Adalid Gordillo-Guerrero, A. Iñiguez, D. Maiorano, A. Marinari, E. Martin-Mayor, V. Moreno-Gordo, J. Sudupe, A. Muñoz 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.
author_facet	Janus Collaboration Paga, I. He, J. Baity-Jesi, M. Calore, E. Cruz, A. Fernandez, L. A. Gil-Narvion, J. M. Pemartin, I. Gonzalez-Adalid Gordillo-Guerrero, A. Iñiguez, D. Maiorano, A. Marinari, E. Martin-Mayor, V. Moreno-Gordo, J. Sudupe, A. Muñoz 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.
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2307_02224
institution	arXiv
publishDate	2023
record_format	arxiv
spellingShingle	Quantifying memory in spin glasses Janus Collaboration Paga, I. He, J. Baity-Jesi, M. Calore, E. Cruz, A. Fernandez, L. A. Gil-Narvion, J. M. Pemartin, I. Gonzalez-Adalid Gordillo-Guerrero, A. Iñiguez, D. Maiorano, A. Marinari, E. Martin-Mayor, V. Moreno-Gordo, J. Sudupe, A. Muñoz 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. Disordered Systems and Neural Networks 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.
title	Quantifying memory in spin glasses
topic	Disordered Systems and Neural Networks
url	https://arxiv.org/abs/2307.02224