非马尔可夫性不是在广义渗流星图上进行量子空间搜索的资源

M. Rossi, M. Cattaneo, M. Paris, S. Maniscalco
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引用次数: 7

摘要

连续时间量子行走可用于增强空间搜索,即在结构为复杂网络的数据库中寻找标记元素。然而,在实际实现中,环境噪声具有不利影响,并且噪声工程是否有助于减轻这些对量子算法性能的影响,这是一个问题。本文研究了时间相关噪声诱导的非马尔可夫性是否可以作为量子搜索的资源。特别地,我们考虑了星图上的量子搜索,这在无噪声情况下被证明是最优的,并分析了独立随机电报噪声(RTN)干扰星图各链路的影响。在利用噪声动力学的精确代码后,我们评估了进化的量子非马尔可夫性,并表明它不能被视为该算法的资源,因为它的存在与较低的搜索成功概率相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Markovianity is not a resource for quantum spatial search on a star graph subject to generalized percolation
Abstract Continuous-time quantum walks may be exploited to enhance spatial search, i.e., for finding a marked element in a database structured as a complex network. However, in practical implementations, the environmental noise has detrimental effects, and a question arises on whether noise engineering may be helpful in mitigating those effects on the performance of the quantum algorithm. Here we study whether time-correlated noise inducing non-Markovianity may represent a resource for quantum search. In particular, we consider quantum search on a star graph, which has been proven to be optimal in the noiseless case, and analyze the effects of independent random telegraph noise (RTN) disturbing each link of the graph. Upon exploiting an exact code for the noisy dynamics, we evaluate the quantum non-Markovianity of the evolution, and show that it cannot be considered as a resource for this algorithm, since its presence is correlated with lower probabilities of success of the search.
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