Quantum transport with long-range steps on Watts–Strogatz networks

Author:

Wang Yan1,Xu Xin-Jian2

Affiliation:

1. Department of Computer Science Guangdong Polytechnic Normal University Guangzhou 510665, P. R. China

2. Department of Mathematics, Shanghai University Shanghai 200444, P. R. China

Abstract

We study transport dynamics of quantum systems with long-range steps on the Watts–Strogatz network (WSN) which is generated by rewiring links of the regular ring. First, we probe physical systems modeled by the discrete nonlinear schrödinger (DNLS) equation. Using the localized initial condition, we compute the time-averaged occupation probability of the initial site, which is related to the nonlinearity, the long-range steps and rewiring links. Self-trapping transitions occur at large (small) nonlinear parameters for coupling [Formula: see text] (1), as long-range interactions are intensified. The structure disorder induced by random rewiring, however, has dual effects for [Formula: see text] and inhibits the self-trapping behavior for [Formula: see text]. Second, we investigate continuous-time quantum walks (CTQW) on the regular ring ruled by the discrete linear schrödinger (DLS) equation. It is found that only the presence of the long-range steps does not affect the efficiency of the coherent exciton transport, while only the allowance of random rewiring enhances the partial localization. If both factors are considered simultaneously, localization is greatly strengthened, and the transport becomes worse.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Complex quantum networks: a topical review;Journal of Physics A: Mathematical and Theoretical;2024-05-24

2. Renovating Watts and Strogatz Random Graph Generation by a Sequential Approach;Web Information Systems Engineering – WISE 2018;2018

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