This study investigates the applications and adaptations of the Grover's search algorithm, an algorithm that uses quantum technologies to provide quadratic speedup while searching unsorted data. Through extensive literature review, the applications of Grover's algorithm such as database search, machine learning, cryptography, and optimization is explored in order to further understand areas open to alteration in the algorithm. Visuals are provided with the aim of enhancing the comprehension of Grover's algorithm. This study underscores how various components of Grover's search-like the oracle, diffusion operator, and iteration count-can be modified to solve complex problems more efficiently than classical search algorithms. A table generalizing aspects of modification and each of their benefits is given as an output. The growing importance of quantum technologies and the United Nations' selection of 2025 as the International Year of Quantum Science and Technology makes this research timely.
column Using Grover's search quantum algorithm to solve Boolean satisfiability problems: Part I Share on Authors: Diogo Fernandes University of Porto, Portugal University of Porto, PortugalView Profile , Inês Dutra University of Porto, Portugal University of Porto, PortugalView Profile Authors Info & Affiliations XRDS: Crossroads, The ACM Magazine for StudentsVolume 26Issue 1Fall 2019 pp 64–66https://doi.org/10.1145/3358251Published:17 September 2019 0citation289DownloadsMetricsTotal Citations0Total Downloads289Last 12 Months67Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access