Analysis of grover's quantum search algorithm on a classical computer: Identifying opportunities for improvement
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.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Necati, Çeli̇K | |
| dc.contributor.author | Bi̇Ngöl, Özkan | |
| dc.date.accessioned | 2026-10-22T10:20:07.116633851Z | |
| dc.date.available | 2026-10-22T10:20:07.116633851Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | 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. | |
| dc.identifier.doi | 10.14744/sigma.2023.00069 | |
| dc.identifier.eissn | 1304-7191 | |
| dc.identifier.endpage | 1049 | |
| dc.identifier.issn | 1304-7191 | |
| dc.identifier.issue | 4 | |
| dc.identifier.scopus | 2-s2.0-85200756200 | |
| dc.identifier.startpage | 1039 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/12439 | |
| dc.identifier.volume | 42 | |
| dc.identifier.wos | WOS:001316114100009 | |
| dc.language.iso | en | |
| dc.publisher | Yildiz Technical University | |
| dc.relation.ispartof | Sigma Journal of Engineering and Natural Sciences | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Grover’s Search Algorithm | |
| dc.subject | Quantum Information | |
| dc.subject | Quantum Information Processing | |
| dc.subject | Qubit, State Vector | |
| dc.subject.classification | Engineering, Multidisciplinary | |
| dc.subject.classification | Engineering | |
| dc.subject.other | IMPLEMENTATION | |
| dc.subject.other | STABILIZATION | |
| dc.subject.other | REALIZATION | |
| dc.title | Analysis of grover's quantum search algorithm on a classical computer: Identifying opportunities for improvement | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 5 | |
| rdl.citation.scopus | 2 | |
| rdl.citation.wos | 1 | |
| rdl.oa.status | gold | |
| rdl.oa.url | https://doi.org/10.14744/sigma.2023.00069 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Emerging Sources Citation Index (ESCI) |
