Novel Objective Function and Expectation Value Estimation Method for the Variational Quantum Singular Value Decomposition Algorithm

dc.contributor.authorJOJO, JEZERen_US
dc.contributor.authorKhandelwal, Ankiten_US
dc.contributor.authorChandra, M Girishen_US
dc.contributor.departmentDept. of Physicsen_US
dc.date.accessioned2025-04-19T04:25:09Z
dc.date.available2025-04-19T04:25:09Z
dc.date.issued2024-01en_US
dc.description.abstractIn this work, we discuss two modifications that can be made to a known variational quantum singular value decomposition algorithm popular in the literature. The first is a change to the objective function which hints at improved performance of the algorithm and decreases the depth of the circuits. The second modification introduces a new way of computing expectation values of general matrices, which is a key step in the algorithm. We then benchmark this modified algorithm and compare the performance of our new objective function with the existing one.en_US
dc.identifier.citation2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)en_US
dc.identifier.doihttps://doi.org/10.1109/COMSNETS59351.2024.10427083en_US
dc.identifier.isbn979-8-3503-8311-9
dc.identifier.isbn979-8-3503-8312-6
dc.identifier.sourcetitle2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)en_US
dc.identifier.urihttps://doi.org/10.1109/COMSNETS59351.2024.10427083
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9645
dc.language.isoenen_US
dc.publication.originofpublisherForeignen_US
dc.publisherIEEEen_US
dc.subjectPhyisicsen_US
dc.subject2024en_US
dc.titleNovel Objective Function and Expectation Value Estimation Method for the Variational Quantum Singular Value Decomposition Algorithmen_US
dc.typeConference Papersen_US

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