网络行走的量子方法

Anurag Singh, Binshumesh Sachan
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引用次数: 0

摘要

通过对网络进行建模和可视化,可以获得一些有趣的发现,这些网络可以包括复杂网络和大型网络,仅举几例。这些网络之前已经用经典的随机行走方法进行了分析。因此,在我们提出的工作中,我们提供了量子版本的行走,主要涉及利用量子计算中的特性。这些性质包括量子干涉、不可克隆定理和对中间测量的限制。在这项工作中,我们提出了在各种网络上运行的离散时间随机漫步算法的量子电路设计。为了证明我们的想法,我们考虑了两种不同类型的网络,星型网络和星型网络的扩展版本。虽然有一些研究工作与量子方法在网络上随机行走有关,但据我们所知,我们在这里提出的思想和方法是独一无二的。我们所讨论的这些思想也可以扩展到更复杂的网络和系统中。作为量子行走的一个应用,我们已经展示了执行量子行走后的结果如何用于识别此类网络中的关键节点。因此,我们也提供了一些复杂网络的分析。关键节点的识别对网络的鲁棒性和生存性至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Quantum Approach to Walk on Networks
Some interesting findings can be achieved by modeling and visualizing networks which can include complex networks and large scale networks to name a few. These networks have been analyzed with the help of classical stochastic walks before. So, here in our proposed work, we provide the quantum version of the walk which basically involves making use of properties found in quantum computing. These properties can include such as quantum interference, no-cloning theorem, and restriction on intermediate measurement. In this proposed work, we present quantum circuit designs for discrete time random walk algorithms that operate on various networks.To demonstrate our ideas we have considered two different types of networks, the star network and an extended version of the star network.Though there exist a few research works related to quantum approach for random walk on networks, to the best of our knowledge, the ideas and approach we present here are unique. These ideas which we have discussed can be extended to more complex networks and systems as well. As an application of quantum walk we have shown, how results got after performing quantum walk can be used to identify critical nodes in such networks. Therefore, we have also provided some analysis of complex networks. Identification of critical nodes is important for robustness and survivability of the network.
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