Memory and rejuvenation in spin glasses: numerical simulations meet experiments.
ORAL · Invited
Abstract
Memory and rejuvenation effects in the magnetic response of off-equilibrium spin glasses have been widely regarded as the doorway into the experimental exploration of ultrametricity and temperature chaos (maybe the most exotic features in glassy free-energy landscapes). Unfortunately, despite more than twenty years of theoretical efforts following the experimental discovery of memory and rejuvenation, these effects have thus far been impossible to simulate reliably. Yet, three recent developments convinced us to accept this challenge: first, the custom-built Janus II supercomputer makes it possible to carry out ``numerical experiments'' in which the very same quantities that can be measured in single crystals of CuMn are computed from the simulation, allowing for parallel analysis of the simulation/experiment data. Second, Janus II simulations have taught us how numerical and experimental length scales should be compared. Third, we have recently understood how temperature chaos materializes in aging dynamics. All three aspects have proved crucial for reliably reproducing rejuvenation and memory effects on the computer. Our analysis shows that (at least) three different length scales play a key role in aging dynamics, while essentially all theoretical analyses of the aging dynamics emphasize the presence and the crucial role of a single glassy correlation length.
*This work was partly supported by grants No.PID2020-112936GB-I00, PID2019-103939RB-I00, No.PGC2018-094684-B-C21 and No.PGC2018-094684-B-C22 funded by Ministerio de Economía y Competitividad, Agencia Estatal de Investigaci'on and Fondo Europeo de Desarrollo Regional (FEDER) (Spain and European Union), by grants No.GR21014 and No.IB20079 (partially funded by FEDER) funded by Junta the Extremadura (Spain), and by the Atracción de Talento program (Ref.2019-T1/TIC-12776) funded by Comunidad de Madrid and Universidad Complutense de Madrid (Spain). This project has received funding from the European Research Council under the European Union's Horizon 2020 research and innovation programme (grant No. 694925,G. Parisi). IGAP was supported by MCIU (Spain) through FPU Grant No. FPU18/02665. JMG was supported by the Ministerio de Universidades and the European Union ``NextGeneration EU/PRTR'' through 2021-2023 Margarita Salas grant.