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由耦合玻色统计和费米统计描述的超对称多重网络。

Supersymmetric multiplex networks described by coupled Bose and Fermi statistics.

作者信息

Bianconi Ginestra

机构信息

School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jan;91(1):012810. doi: 10.1103/PhysRevE.91.012810. Epub 2015 Jan 13.

Abstract

Until now, no simple symmetries have been detected in complex networks. Here we show that in growing multiplex networks the symmetries of multilayer structures can be exploited by their dynamical rules, forming supersymmetric multiplex networks described by coupled Bose-Einstein and Fermi-Dirac quantum statistics. The supersymmetric multiplex is formed by layers which are scale-free networks and can display a Bose-Einstein condensation of the links. To characterize the complexity of the supersymmetric multiplex using quantum information tools, we extend the definition of the network entanglement entropy to the layers of any multiplex network. Interestingly, we observe a very simple relation between the entanglement entropies of the layers of the supersymmetric multiplex network and the entropy rate of the same multiplex network. This relation therefore connects the classical nonequilibrium growing dynamics of the supersymmetric multiplex network with its quantum information static characteristics.

摘要

到目前为止,在复杂网络中尚未检测到简单的对称性。在此我们表明,在不断增长的多重网络中,多层结构的对称性可被其动力学规则所利用,形成由耦合的玻色 - 爱因斯坦和费米 - 狄拉克量子统计描述的超对称多重网络。超对称多重网络由无标度网络层构成,并且可以呈现链路的玻色 - 爱因斯坦凝聚。为了用量子信息工具表征超对称多重网络的复杂性,我们将网络纠缠熵的定义扩展到任何多重网络的各层。有趣的是,我们观察到超对称多重网络各层的纠缠熵与同一多重网络的熵率之间存在非常简单的关系。因此,这种关系将超对称多重网络的经典非平衡增长动力学与其量子信息静态特征联系了起来。

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