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The spherical p-spin model is not only a fundamental model in statistical mechanics of disordered system, but has recently gained popularity since many hard problems in machine learning can be mapped on it. Thus the study of the out of…

无序系统与神经网络 · 物理学 2020-09-02 Giampaolo Folena , Silvio Franz , Federico Ricci-Tersenghi

We investigate numerically disorder chaos in spin glasses, i.e. the sensitivity of the ground state to small changes of the random couplings. Our study focuses on the Edwards-Anderson model in d=1,2,3 and in mean-field. We find that in all…

无序系统与神经网络 · 物理学 2007-05-23 Florent Krzakala , Jean-Philippe Bouchaud

Motivated by the mean field prediction of a Gardner phase transition between a "normal glass" and a "marginally stable glass", we investigate the off-equilibrium dynamics of three-dimensional polydisperse hard spheres, used as a model for…

软凝聚态物质 · 物理学 2018-06-28 Beatriz Seoane , Francesco Zamponi

Spin systems with frustration and disorder are notoriously difficult to study both analytically and numerically. While the simulation of ferromagnetic statistical mechanical models benefits greatly from cluster algorithms, these accelerated…

无序系统与神经网络 · 物理学 2015-08-18 Zheng Zhu , Andrew J. Ochoa , Helmut G. Katzgraber

We study the dynamics of a quantum $p$-spin glass model starting from initial states defined in microcanonical shells, in a classical regime. We compute different chaos estimators, such as the Lyapunov exponent and the Kolmogorov-Sinai…

无序系统与神经网络 · 物理学 2023-11-17 Lorenzo Correale , Anatoli Polkovnikov , Marco Schirò , Alessandro Silva

connected spin-glass models with a discontinuous transition. In the thermodynamic limit the equilibrium properties in the high temperature phase are described by the schematic Mode Coupling Theory of super-cooled liquids. We show that {\it…

无序系统与神经网络 · 物理学 2009-10-31 A. Crisanti , F. Ritort

In many mean-field glassy systems, the low-temperature Gibbs measure is dominated by exponentially many metastable states. We analyze the evolution of the metastable states as temperature changes adiabatically in the solvable case of the…

无序系统与神经网络 · 物理学 2012-07-09 YiFan Sun , Andrea Crisanti , Florent Krzakala , Luca Leuzzi , Lenka Zdeborová

Spin glasses have competing interactions that lead to a rough energy landscape which is highly susceptible to small perturbations. These chaotic effects strongly affect numerical simulations and, as such, gaining a deeper understanding of…

无序系统与神经网络 · 物理学 2016-06-14 Wenlong Wang , Jonathan Machta , Helmut G. Katzgraber

We study the dynamics of the East model, comprising a chain of uncoupled spins in a downward-pointing field. Glassy effects arise at low temperatures $T$ from the kinetic constraint that spins can only flip if their left neighbour is up. We…

统计力学 · 物理学 2007-05-23 P. Sollich , M. R. Evans

We address the problem of chaotic temperature dependence in disordered glassy systems at equilibrium by following states of a random-energy random-entropy model in temperature; of particular interest are the crossings of the free-energies…

无序系统与神经网络 · 物理学 2015-06-24 F. Krzakala , O. C. Martin

Glass transition where viscosity of liquids increases dramatically upon decrease of temperature without any major change in structural properties, remains one of the most challenging problems in condensed matter physics (Cavagna, 2009;…

统计力学 · 物理学 2014-05-29 Smarajit Karmakar , Giorgio Parisi

We analyze the properties of the energy landscape of {\it finite-size} fully connected p-spin-like models whose high temperature phase is described, in the thermodynamic limit, by the schematic Mode Coupling Theory of super-cooled liquids.…

无序系统与神经网络 · 物理学 2009-10-31 A. Crisanti , F. Ritort

In these notes the main theoretical concepts and techniques in the field of mean-field spin-glasses are reviewed in a compact and pedagogical way, for the benefit of the graduate and undergraduate student. One particular spin-glass model is…

无序系统与神经网络 · 物理学 2009-11-11 Tommaso Castellani , Andrea Cavagna

Spin-glass systems are universal models for representing many-body phenomena in statistical physics and computer science. High quality solutions of NP-hard combinatorial optimization problems can be encoded into low energy states of…

无序系统与神经网络 · 物理学 2020-01-14 Gavin S. Hartnett , Masoud Mohseni

We study the glass formation in two- and three-dimensional Ising and Heisenberg spin systems subject to competing interactions and uniaxial anisotropy with a mean-field approach. In three dimensions, for sufficiently strong anisotropy the…

介观与纳米尺度物理 · 物理学 2016-09-28 Alessandro Principi , Mikhail I. Katsnelson

We study the problem of chaos in temperature in some mean-field spin-glass models by means of a replica computation over a model of coupled systems. We propose a set of solutions of the saddle point equations which are intrinsically…

无序系统与神经网络 · 物理学 2009-11-07 Tommaso Rizzo

Mean-field models of glasses that present a random first order transition exhibit highly non-trivial fluctuations. Building on previous studies that focused on the critical scaling regime, we here obtain a fully quantitative framework for…

无序系统与神经网络 · 物理学 2022-08-09 Giampaolo Folena , Giulio Biroli , Patrick Charbonneau , Yi Hu , Francesco Zamponi

We study the equilibrium glassy behavior of a multimode random laser model with nonlinear four-body quenched disordered interactions and a global smoothed-cubic constraint on mode intensities. This constraint, which provides a more…

无序系统与神经网络 · 物理学 2025-11-19 Marcello Benedetti , Luca Leuzzi

The purpose of this manuscript is to review my recent activity on three main research topics. The first concerns the nature of low temperature amorphous solids and their relation with the spin glass transition in a magnetic field. This is…

无序系统与神经网络 · 物理学 2024-05-13 Pierfrancesco Urbani

We investigate the two-dimensional frustrated quantum Heisenberg model with bond disorder on nearest-neighbor couplings using the recently introduced Foundation Neural-Network Quantum States framework, which enables accurate and efficient…