作为 k-mer 图的量子超立方体。

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Frontiers in bioinformatics Pub Date : 2024-09-12 eCollection Date: 2024-01-01 DOI:10.3389/fbinf.2024.1401223
Gustavo Becerra-Gavino, Liliana Ibeth Barbosa-Santillan
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引用次数: 0

摘要

自 20 世纪 80 年代以来,量子原理在计算中的应用一直备受关注。如今,这一概念不仅是理论上的,而且我们有办法设计和执行利用量子原理进行计算的技术。量子漫步搜索技术的出现体现了量子概念的实际应用及其彻底改变信息技术的潜力。量子漫步搜索技术用途广泛,可应用于各种问题。例如,量子漫步搜索可以在量子超立方体等组合搜索空间中识别标记项。量子超立方体将量子比特组织起来,量子比特状态代表顶点,边代表相差一个量子比特状态的状态转换。它为在量子领域表示 k-mer 图提供了一个新颖的框架。因此,量子超立方体有利于利用并行性,通过叠加和纠缠来搜索标记的 k-mer。然而,在对结果的分析中发现,这种搜索有时只能成功命中目标。因此,通过对量子行走搜索电路结果的细致检查、评估哪些输入-目标组合是有用的,以及对 DNA k-mer 搜索的富有远见的探索,本文打开了通向创新可能性的大门,为进一步的研究奠定了基础,以弥合量子计算理论猜想与生物信息学实际影响之间的差距。
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The quantum hypercube as a k-mer graph.

The application of quantum principles in computing has garnered interest since the 1980s. Today, this concept is not only theoretical, but we have the means to design and execute techniques that leverage the quantum principles to perform calculations. The emergence of the quantum walk search technique exemplifies the practical application of quantum concepts and their potential to revolutionize information technologies. It promises to be versatile and may be applied to various problems. For example, the coined quantum walk search allows for identifying a marked item in a combinatorial search space, such as the quantum hypercube. The quantum hypercube organizes the qubits such that the qubit states represent the vertices and the edges represent the transitions to the states differing by one qubit state. It offers a novel framework to represent k-mer graphs in the quantum realm. Thus, the quantum hypercube facilitates the exploitation of parallelism, which is made possible through superposition and entanglement to search for a marked k-mer. However, as found in the analysis of the results, the search is only sometimes successful in hitting the target. Thus, through a meticulous examination of the quantum walk search circuit outcomes, evaluating what input-target combinations are useful, and a visionary exploration of DNA k-mer search, this paper opens the door to innovative possibilities, laying down the groundwork for further research to bridge the gap between theoretical conjecture in quantum computing and a tangible impact in bioinformatics.

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