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dc.contributor.authorNewbold, T
dc.contributor.authorMoraglio, A
dc.date.accessioned2024-05-16T14:35:13Z
dc.date.issued2024-08-01
dc.date.updated2024-05-16T13:51:05Z
dc.description.abstractThe emergence of quantum computers represents a crucial leap forward in practical computability, when compared to classical architectures. Harnessing that power effectively is an exercise of increasing importance. Despite research in this field expanding rapidly, little headway has been made towards new quantum algorithms. The complexity of quantum systems makes them conceptually inaccessible to non-experts; therefore, programs are hard to design, hindering advancement. This paper presents a method for genetically encoding and designing arbitrary circuits in Qiskit, a software library developed by IBM for simulating quantum logic gates. The effectiveness of the system is verified by evolving solutions to the Toffoli gate and Quantum Fourier Transform problems.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationGECCO '24, Melbourne, Australia, 14 - 18 July 2024, pp. 2111 - 2114en_GB
dc.identifier.doihttps://doi.org/10.1145/3638530.3664108
dc.identifier.urihttp://hdl.handle.net/10871/135963
dc.identifierORCID: 0000-0003-4782-6590 (Moraglio, Alberto)
dc.language.isoenen_GB
dc.publisherAssociation for Computing Machinery (ACM)en_GB
dc.rights© 2024 Copyright held by the owner/author(s). Open access. This work is licensed under a Creative Commons Attribution International 4.0 Licenseen_GB
dc.subjectGenetic Programmingen_GB
dc.subjectEvolutionary Algorithmsen_GB
dc.subjectQuantum Logic Gatesen_GB
dc.subjectQuantum Fourier Transformen_GB
dc.subjectQiskiten_GB
dc.titleEvolving quantum logic gate circuits in Qiskiten_GB
dc.typeConference paperen_GB
dc.date.available2024-05-16T14:35:13Z
dc.identifier.isbn9798400704956
exeter.locationMelbourne, Australia
dc.descriptionThis is the final version. Available on open access from ACM via the DOI in this recorden_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-05-03
dcterms.dateSubmitted2024-03-28
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-05-03
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2024-05-16T13:51:07Z
refterms.versionFCDAM
refterms.dateFOA2024-08-23T12:22:42Z
refterms.panelBen_GB
pubs.name-of-conferenceGECCO 2024
exeter.rights-retention-statementYes


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© 2024 Copyright held by the owner/author(s). Open access. This work is licensed under a Creative Commons Attribution International 4.0 License
Except where otherwise noted, this item's licence is described as © 2024 Copyright held by the owner/author(s). Open access. This work is licensed under a Creative Commons Attribution International 4.0 License