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Multi-qubit controlled NOT gates for artificial intelligence natural languages processing

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dc.contributor.author Ablayev F.
dc.contributor.author Andrianov S.
dc.contributor.author Andrianova N.
dc.contributor.author Kalachev A.
dc.contributor.author Vasiliev A.
dc.date.accessioned 2020-01-15T21:17:41Z
dc.date.available 2020-01-15T21:17:41Z
dc.date.issued 2019
dc.identifier.issn 0277-786X
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/155578
dc.description.abstract © 2019 SPIE. Natural language processing is efficient using quantum neural networks including multiqubit controlled NOT gates with multiple control qubits and a single target qubit. We propose here a photonic miltiqubit controlled NOT gate based on a multi-wave mixing process in a cavity. Theory of such a multiqubit gate is constructed using input-output formalism. Parameters matching condition is found that must be fulfilled for successful gate operation. Recommendations are given for the construction of quantum neural networks that are able to solve various practical problems of natural language processing.
dc.relation.ispartofseries Proceedings of SPIE - The International Society for Optical Engineering
dc.subject artificial intelligence
dc.subject controlled NOT gates
dc.subject multi-wave mixing
dc.subject natural language processing
dc.title Multi-qubit controlled NOT gates for artificial intelligence natural languages processing
dc.type Conference Paper
dc.relation.ispartofseries-volume 11022
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS0277786X-2019-11022-SID85063513757

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  • Публикации сотрудников КФУ Scopus [22633]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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