Artificial Intelligence Division, Institute of Computer Science, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland.
Independent Researcher, Warsaw, Poland.
Brief Bioinform. 2024 Jul 25;25(5). doi: 10.1093/bib/bbae391.
The field of quantum computing (QC) is expanding, with efforts being made to apply it to areas previously covered by classical algorithms and methods. Bioinformatics is one such domain that is developing in terms of QC. This article offers a broad mapping review of methods and algorithms of QC in bioinformatics, marking the first of its kind. It presents an overview of the domain and aids researchers in identifying further research directions in the early stages of this field of knowledge. The work presented here shows the current state-of-the-art solutions, focuses on general future directions, and highlights the limitations of current methods. The gathered data includes a comprehensive list of identified methods along with descriptions, classifications, and elaborations of their advantages and disadvantages. Results are presented not just in a descriptive table but also in an aggregated and visual format.
量子计算（QC）领域正在不断扩展，人们正在努力将其应用于传统算法和方法所涵盖的领域。生物信息学就是这样一个在 QC 方面发展的领域。本文对生物信息学中的 QC 方法和算法进行了广泛的映射综述，这在该领域尚属首次。它概述了该领域，并帮助研究人员在该领域的早期阶段确定进一步的研究方向。这里展示的工作展示了当前的最新解决方案，重点关注一般的未来方向，并突出了当前方法的局限性。收集的数据包括已识别方法的综合列表，以及对其优缺点的描述、分类和详细说明。结果不仅以描述性表格呈现，还以聚合和可视化格式呈现。
