论文标题
噪声随机驱动和小世界网络的量子传输效率
Quantum transport efficiency in noisy random-removal and small-world networks
论文作者
论文摘要
我们报告了对图形拓扑在随机去除和瓦特 - 史特罗加兹网络中的作用的深入研究结果。通过使用四种不同的环境模型 - 无噪音，通过经典的随机电报噪声（RTN），热量子浴和浴室+RTN驱动 - 我们比较了环境的作用以及网络拓扑中的作用以及在确定量子传输效率方面的变化。我们发现，与两个网络类别的环境操纵相比，网络拓扑的小而特定的变化在效率上更大变化更为有效。此外，我们发现这些网络中运输效率的噪声依赖性可以分为六个类。通常，我们的结果突出了网络拓扑和环境模型在量子传输中播放的相互作用，并为增加规模和复杂性的网络铺平了道路 - 到目前为止，经常使用少数站点的运输系统。
We report the results of an in-depth study of the role of graph topology on quantum transport efficiency in random removal and Watts-Strogatz networks. By using four different environmental models -- noiseless, driving by classical random telegraph noise (RTN), thermal quantum bath, and bath+RTN -- we compare the role of the environment and of the change in network topology in determining the quantum transport efficiency. We find that small and specific changes in network topology is more effective in causing large change in efficiency compared to that achievable by environmental manipulations for both network classes. Furthermore, we have found that noise dependence of transport efficiency in these networks can be categorized into six classes. In general, our results highlight the interplay that network topology and environment models play in quantum transport, and pave the way for transport studies for networks of increasing size and complexity -- when going beyond so far often used few-site transport systems.
