English

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

Disordered Systems and Neural Networks 2021-06-24 v3 Statistical Mechanics

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 TinT_{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 TinT_{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.

Keywords

Cite

@article{arxiv.2007.07776,
  title  = {Gradient descent dynamics in the mixed $p$-spin spherical model: finite size simulation and comparison with mean-field integration},
  author = {Giampaolo Folena and Silvio Franz and Federico Ricci-Tersenghi},
  journal= {arXiv preprint arXiv:2007.07776},
  year   = {2021}
}

Comments

15 pages, 8 figures