Cao Xin, Wang Feng, Han Yilong
Department of Physics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jun;91(6):062135. doi: 10.1103/PhysRevE.91.062135. Epub 2015 Jun 24.
We illustrate a complex-network approach to study the phase spaces of spin glasses. By mapping the whole ground-state phase spaces of two-dimensional Edwards-Anderson bimodal (±J) spin glasses exactly into networks for analysis, we discovered various phase-space properties. The Gaussian connectivity distribution of the phase-space networks demonstrates that both the number of free spins and the visiting frequency of all microstates follow the Gaussian distribution. The spectra of phase-space networks are Gaussian, which is proven to be exact when the system is infinitely large. The phase-space networks exhibit community structures. By coarse graining to the community level, we constructed a network representing the entropy landscape of the ground state and discovered its scale-free property. The phase-space networks exhibit fractal structures, as a result of the rugged entropy landscape. Moreover, we show that the connectivity distribution, community structures, and fractal structures change drastically at the ferromagnetic-to-glass phase transition. These quantitative measurements of the ground states provide new insight into the study of spin glasses. The phase-space networks of spin glasses share a number of common features with those of lattice gases and geometrically frustrated spin systems and form a new class of complex networks with unique topology.
我们展示了一种用于研究自旋玻璃相空间的复杂网络方法。通过将二维爱德华兹 - 安德森双峰(±J)自旋玻璃的整个基态相空间精确映射到网络中进行分析,我们发现了各种相空间性质。相空间网络的高斯连通性分布表明,自由自旋的数量和所有微观状态的访问频率均遵循高斯分布。相空间网络的谱是高斯型的,当系统无限大时,这被证明是精确的。相空间网络呈现出社区结构。通过粗粒化到社区层面,我们构建了一个代表基态熵景观的网络,并发现了其无标度性质。由于崎岖的熵景观,相空间网络呈现出分形结构。此外,我们表明,在铁磁 - 玻璃相变处,连通性分布、社区结构和分形结构会发生剧烈变化。这些基态的定量测量为自旋玻璃的研究提供了新的见解。自旋玻璃的相空间网络与晶格气体和几何受挫自旋系统的相空间网络具有许多共同特征,并形成了一类具有独特拓扑结构的新型复杂网络。