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Random constraint satisfaction problems are interesting model systems for spin-glasses and glassy dynamics studies. As the constraint density of such a system reaches certain threshold value, its solution space may split into extremely many…

无序系统与神经网络 · 物理学 2015-05-14 Haijun Zhou

The random K-satisfiability (K-SAT) problem is an important problem for studying typical-case complexity of NP-complete combinatorial satisfaction; it is also a representative model of finite-connectivity spin-glasses. In this paper we…

无序系统与神经网络 · 物理学 2015-05-18 Haijun Zhou

We use heuristic optimization methods in extensive computations to determine with low systematic error ground state configurations of the mean-field $p$-spin glass model with $p=3$. Here, all possible triplets in a system of $N$ Ising spins…

无序系统与神经网络 · 物理学 2025-08-27 Stefan Boettcher , Ginger E. Lau

Across many scientific and engineering disciplines, it is important to consider how much the output of a given system changes due to perturbations of the input. Here, we investigate the glassy phase of $\pm J$ spin glasses at zero…

无序系统与神经网络 · 物理学 2022-10-24 Vaibhav Mohanty , Ard A. Louis

In a spin glass system on a random graph, some vertices have their spins changing among different configurations of a ground--state domain. Long range frustrations may exist among these unfrozen vertices in the sense that certain…

无序系统与神经网络 · 物理学 2012-11-07 Haijun Zhou

We numerically address the issue of how the ground state topology is reflected in the finite temperature dynamics of the $\pm J$ Edwards-Anderson spin glass model. In this system a careful study of the ground state configurations allows to…

无序系统与神经网络 · 物理学 2009-11-11 F. Romá , S. Bustingorry , P. M. Gleiser

Systems with a complex dynamics like glasses or models of biological evolution are often pictured in terms of complex landscapes, with a large number of possible collective states. We show on the example of a stochastic spin model with…

无序系统与神经网络 · 物理学 2026-02-03 Laura Guislain , Eric Bertin

We review several models of glassy systems where the randomness is self generated, i.e. already an infinitesimal amount of disorder is sufficient to cause a transition to a non-ergodic, glassy state. We discuss the application of the…

无序系统与神经网络 · 物理学 2011-01-05 Maxim Dzero , Joerg Schmalian , Peter G. Wolynes

A simple geometrical characterization of configuration space neighborhoods of local energy minima in spin glass landscapes is found by exhaustive search. Combined with previous Monte Carlo investigations of thermal domain growth, it allows…

无序系统与神经网络 · 物理学 2015-06-25 Paolo Sibani

Due to an extremely rugged structure of the free energy landscape, the determination of spin-glass ground states is among the hardest known optimization problems, found to be NP-hard in the most general case. Owing to the specific structure…

无序系统与神经网络 · 物理学 2011-11-10 Martin Weigel

The set of solutions of random constraint satisfaction problems (zero energy groundstates of mean-field diluted spin glasses) undergoes several structural phase transitions as the amount of constraints is increased. This set first breaks…

统计力学 · 物理学 2007-12-19 Guilhem Semerjian

We study the geometrical structure of the states in the low temperature phase of a mean field model for generalized spin glasses, the p-spin spherical model. This structure cannot be revealed by the standard methods, mainly due to the…

无序系统与神经网络 · 物理学 2009-10-30 Andrea Cavagna , Irene Giardina , Giorgio Parisi

We define a new family of random spin models with one-dimensional structure, finite-range multi-spin interactions, and bounded average degree (number of interactions in which each spin participates). Unfrustrated ground states can be…

统计力学 · 物理学 2009-04-13 Andrea Montanari , Antoine Sinton

The large N infinite range spin glass is considered, in particular the number of spin components k needed to form the ground state and the sample-to-sample fluctuations in the Lagrange multiplier field on each site. The physical…

无序系统与神经网络 · 物理学 2015-06-25 M. B. Hastings

Counting the number of ground states for a spin-glass or NP-complete combinatorial optimization problem is even more difficult than the already hard task of finding a single ground state. In this paper the entropy of minimum vertex-covers…

无序系统与神经网络 · 物理学 2009-03-17 Jie Zhou , Haijun Zhou

We show how dynamical heterogeneities in glass forming systems emerge as a consequence of the existence of dynamical constraints, and we offer an interpretation of the glass transition as an entropy crisis in trajectory space (space-time)…

统计力学 · 物理学 2009-11-07 Juan P. Garrahan , David Chandler

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

The notions of pure states and inherent structures, i.e. stable configurations against 1-spin flip are discussed. We explain why these different concepts accidentally coincide in mean-field models with infinite connectivity and present an…

无序系统与神经网络 · 物理学 2016-08-31 Giulio Biroli , Remi Monasson

When a liquid is cooled below its melting temperature, if crystallization is avoided, it forms a glass. This phenomenon, called glass transition, is characterized by a marked increase of viscosity, about 14 orders of magnitude, in a narrow…

无序系统与神经网络 · 物理学 2008-08-23 Simone Capaccioli , Giancarlo Ruocco , Francesco Zamponi

We study numerically the configuration space at low energy of electron glasses. We consider systems with Coulomb interactions, short-range interactions and no interactions. First, we calculate the integrated density of configurations as a…

强关联电子 · 物理学 2007-05-23 A. Perez-Garrido , M. Ortuno , A. M. Somoza , A. Diaz-Sanchez
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