Network Robustness: Detecting Topological Quantum Phases

被引:3
|
作者
Chou, Chung-Pin [1 ]
机构
[1] Beijing Computat Sci Res Ctr, Beijing 100084, Peoples R China
来源
SCIENTIFIC REPORTS | 2014年 / 4卷
关键词
COMPLEX NETWORKS; OPTIMIZATION;
D O I
10.1038/srep07526
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Can the topology of a network that consists of many particles interacting with each other change in complexity when a phase transition occurs? The answer to this question is particularly interesting to understand the nature of the phase transitions if the distinct phases do not break any symmetry, such as topological phase transitions. Here we present a novel theoretical framework established by complex network analysis for demonstrating that across a transition point of the topological superconductors, the network space experiences a homogeneous-heterogeneous transition invisible in real space. This transition is nothing but related to the robustness of a network to random failures. We suggest that the idea of the network robustness can be applied to characterizing various phase transitions whether or not the symmetry is broken.
引用
收藏
页数:6
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