Quantum Communication Based on an Algorithm of Determining a Matrix

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dc.contributor.authorNagata, Kojiko
dc.contributor.authorNakamura, Tadaoko
dc.date.accessioned2019-02-20T04:51:18Z-
dc.date.available2019-02-20T04:51:18Z-
dc.date.created2019-01-28-
dc.date.issued2019-01-
dc.identifier.citationINTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, v.58, no.1, pp.247 - 254-
dc.identifier.issn0020-7748-
dc.identifier.urihttp://hdl.handle.net/10203/250205-
dc.description.abstractLet us consider the following game; Bob has a N x M matrix (N rows and M columns) but Alice does not know what matrix he has. The goal is of knowing the unknown matrix. How many queries does she need? In the classical case, she needs N x M queries. In the quantum case, she needs just a query. We propose an algorithm for determining the N x M matrix (N rows and M columns). First, we discuss an algorithm for determining an integer string. The algorithm presented here has the following structure. Given the set of real values {a(1), a(2), a(3),..., a(N)} and a special function g, we determine N values of the function g(a(1)), g(a(2)), g(a(3)),..., g(a(N)) simultaneously. The speed of determining the string is shown to outperform the best classical case by a factor of N. Next, we consider it as a column of the matrix; C-1 = (g(a(1)), g(a(2)), g(a(3)),..., g(a(N))) = (a(11), a(21),..., a(n1)). By using M parallel quantum systems, we have M columns simultaneously, C-1, C-2,..., C-M. The speed of obtaining the M columns (the matrix) is shown to outperform the classical case by a factor of N x M. This implies she needs just a query.-
dc.languageEnglish-
dc.publisherSPRINGER/PLENUM PUBLISHERS-
dc.titleQuantum Communication Based on an Algorithm of Determining a Matrix-
dc.typeArticle-
dc.identifier.wosid000455401000022-
dc.identifier.scopusid2-s2.0-85055482758-
dc.type.rimsART-
dc.citation.volume58-
dc.citation.issue1-
dc.citation.beginningpage247-
dc.citation.endingpage254-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF THEORETICAL PHYSICS-
dc.identifier.doi10.1007/s10773-018-3926-9-
dc.contributor.nonIdAuthorNakamura, Tadao-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
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