Analysis of grover's quantum search algorithm on a classical computer: Identifying opportunities for improvement

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August 202Erişim
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Scopus EXPORT DATE: 05 March 2025 @ARTICLE{Necati20241039, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200756200&doi=10.14744%2fsigma.2023.00069&partnerID=40&md5=89eb80af279b25e106556ef886a5d36b}, affiliations = {Department of Physics Engineering, Gümüşhane University, Gümüşhane, Turkey; Department of Software Engineering, Gümüşhane University, Gümüşhane, Turkey}, correspondence_address = {Ç. Necati; Department of Physics Engineering, Gümüşhane University, Gümüşhane, Turkey; email: necati.celik@gumushane.edu.tr}, publisher = {Yildiz Technical University}, issn = {13047191}, language = {English}, abbrev_source_title = {Sigma. J. Eng. Nat. Sci.} }Özet
In this paper, Grover’s quantum search algorithm is analyzed using a classical computer by calculating the amplitudes and the probabilities of finding a single marked state for n=5, 10, 15, 20, 25, and 27 qubit states. The calculations show that the marked state can be found in iterations, where N = 2n is the number of items. The possibility of improving Grover’s search algorithm to find a single item in N search elements is discussed by calculating the amplitudes and hence the probabilities of finding a single marked state for n=5, 10, 15, 20, 25, 30, 35, 40, 45, and 50 qubit states. The calculations showed that the marked state could be found with sufficiently high probability in (ln(N)) iterations. This is quite a remarkable speed-up that can be achieved to find a single marked element in an unsorted N search element. Copyright 2021, Yıldız Technical University.
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https://hdl.handle.net/20.500.12440/6402