Gradient descent dynamics in the mixed $p$-spin spherical model: finite size simulation and comparison with mean-field integration - Archive ouverte HAL
Journal Articles Journal of Statistical Mechanics: Theory and Experiment Year : 2021

Gradient descent dynamics in the mixed $p$-spin spherical model: finite size simulation and comparison with mean-field integration

Abstract

We perform numerical simulations of a long-range spherical spin glass with two and three body interaction terms. We study the gradient descent dynamics and the inherent structures found after a quench from initial conditions, well thermalized at temperature $T_{in}$. In large systems, the dynamics strictly agrees with the integration of the mean-field dynamical equations. In particular, we confirm the existence of an onset initial temperature, within the liquid phase, below which the energy of the inherent structures undoubtedly depends on $T_{in}$. This behavior is in contrast with that of pure models, where there is a 'threshold energy' that attracts all the initial configurations in the liquid. Our results strengthen the analogy between mean-field spin glass models and supercooled liquids.

Dates and versions

hal-03223872 , version 1 (11-05-2021)

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Cite

Giampaolo Folena, Silvio Franz, Federico Ricci-Tersenghi. Gradient descent dynamics in the mixed $p$-spin spherical model: finite size simulation and comparison with mean-field integration. Journal of Statistical Mechanics: Theory and Experiment, 2021, ⟨10.1088/1742-5468/abe29f⟩. ⟨hal-03223872⟩
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