稀疏和致密伊辛自旋玻璃对外部磁场不同斜坡模式的滞后响应

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2024-09-02 DOI:10.1016/j.physa.2024.130070
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引用次数: 0

摘要

我们考虑了伊辛自旋玻璃在 T=0 时各种驱动模式下的滞后行为。以往的研究大多集中在一个无限慢的速度Ḣ上,通过外部场 H 的斜坡来触发自旋翻转的雪崩,从破坏单个自旋的稳定性开始,而很少有人关注不同驱动方法的影响。首先,我们证明这一传统方案与系统大小有关。然后,我们对速率Ḣ也固定不变的伊辛自旋玻璃的响应进行数值分析,以阐明响应的差异。具体来说,我们比较了两类大小为 N 的自旋玻璃系统的三种不同斜坡模式(Ḣ=c/N、Ḣ=c/N 和常数为 c 时的Ḣ=c),前者用 Sherrington-Kirkpatrick 模型表示密集网络,后者用 d=3 维的晶格自旋玻璃(即 Edwards Anderson 模型)表示稀疏网络。我们发现,每个系统的反应(以自旋翻转雪崩和其他观测值的形式)都会有很大的不同,这取决于斜坡的模式。特别是在应用于晶格自旋玻璃的与 N 无关的模式中(这是最接近实验现实的模式),我们观察到在局部反应和系统跨度反应阶段之间具有广泛雪崩分布的渗滤转变。我们探讨了与稀疏系统有关的组合优化问题的意义。
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Hysteretic response to different modes of ramping an external field in sparse and dense Ising spin glasses

We consider the hysteretic behavior of Ising spin glasses at T=0 for various modes of driving. Previous studies mostly focused on an infinitely slow speed Ḣ by which the external field H was ramped to trigger avalanches of spin flips by starting with destabilizing a single spin while few have focused on the effect of different driving methods. First, we show that this conventional protocol imposes a system size dependence. Then, we numerically analyze the response of Ising spin glasses at rates Ḣ that are fixed as well, to elucidate the differences in the response. Specifically, we compare three different modes of ramping (Ḣ=c/N, Ḣ=c/N, and Ḣ=c for constant c) for two types of spin glass systems of size N, representing dense networks by the Sherrington–Kirkpatrick model and sparse networks by the lattice spin glass in d=3 dimensions known as the Edwards Anderson model. Depending on the mode of ramping, we find that the response of each system, in form of spin-flip avalanches and other observables, can vary considerably. In particular, in the N-independent mode applied to the lattice spin glass, which is closest to experimental reality, we observe a percolation transition with a broad avalanche distribution between phases of localized and system-spanning responses. We explore implications for combinatorial optimization problems pertaining to sparse systems.

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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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