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dc.contributor.authorTaheri Monfared, Asma
dc.contributor.authorCiriani, Valentina
dc.contributor.authorHaghparast, Majid
dc.date.accessioned2024-08-16T12:15:29Z
dc.date.available2024-08-16T12:15:29Z
dc.date.issued2024
dc.identifier.citationTaheri Monfared, A., Ciriani, V., & Haghparast, M. (2024). Qutrit representation of quantum images : new quantum ternary circuit design. <i>Quantum Information Processing</i>, <i>23</i>(8), Article 288. <a href="https://doi.org/10.1007/s11128-024-04484-w" target="_blank">https://doi.org/10.1007/s11128-024-04484-w</a>
dc.identifier.otherCONVID_233323357
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/96654
dc.description.abstractQuantum computation is growing in significance and proving to be a powerful tool in meeting the high real-time computational demands of classical digital image processing. However, extensive research has been done on quantum image processing, mainly rooted in binary quantum systems. In this paper, we propose a new quantum ternary image circuit based on the analysis of the existing qutrit representation of quantum images. The proposed design utilizes ternary shift gates and ternary Muthukrishnan–Stroud gates, with the belief that this circuit can be used for ternary quantum image processing. This study makes a significant improvement compared to the existing counterpart in terms of quantum cost, the number of constant inputs, and garbage outputs, which are all essential parameters in quantum circuit design.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesQuantum Information Processing
dc.rightsCC BY 4.0
dc.subject.otherquantum computation
dc.subject.otherquantum image processing
dc.subject.otherquantum ternary image circuit
dc.titleQutrit representation of quantum images : new quantum ternary circuit design
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202408165538
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1570-0755
dc.relation.numberinseries8
dc.relation.volume23
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber349945
dc.relation.grantnumber8582/31/2022
dc.subject.ysokvanttilaskenta
dc.subject.ysokuvankäsittely
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p39209
jyx.subject.urihttp://www.yso.fi/onto/yso/p6449
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s11128-024-04484-w
dc.relation.funderResearch Council of Finlanden
dc.relation.funderBusiness Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderBusiness Finlandfi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramCo-Innovation, BFen
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramCo-Innovation, BFfi
jyx.fundinginformationMajid Haghparast acknowledges supports from the Academy of Finland (Project DEQSE 349945) and Business Finland (Project TORQS 8582/31/2022). Open Access funding is provided by the University of Jyväskylä (JYU). Also this work was supported in part by project SERICS (PE00000014) under the NRRP MUR program funded by the EU - NGEU.
dc.type.okmA1


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