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A hybrid NEQR image encryption cryptosystem using two-dimensional quantum walks and quantum coding.

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Title: A hybrid NEQR image encryption cryptosystem using two-dimensional quantum walks and quantum coding.
Authors: Hao, Wentao1, Zhang, Tianshuo1, Chen, Xianyi1, Zhou, Xiaoyi1, xy.zhou@hainanu.edu.cn
Source: Signal Processing; Apr2023, Vol. 205, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 161121860
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A hybrid NEQR image encryption cryptosystem using two-dimensional quantum walks and quantum coding.
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  Data: <searchLink fieldCode="AU" term="%22Hao%2C+Wentao%22">Hao, Wentao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Tianshuo%22">Zhang, Tianshuo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Xianyi%22">Chen, Xianyi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhou%2C+Xiaoyi%22">Zhou, Xiaoyi</searchLink><relatesTo>1</relatesTo>, <i>xy.zhou@hainanu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Signal+Processing%22">Signal Processing</searchLink>; Apr2023, Vol. 205, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161121860
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.sigpro.2022.108890
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: A hybrid NEQR image encryption cryptosystem using two-dimensional quantum walks and quantum coding.
        Type: main
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          Name:
            NameFull: Hao, Wentao
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            NameFull: Zhang, Tianshuo
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            NameFull: Chen, Xianyi
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            NameFull: Zhou, Xiaoyi
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          Dates:
            – D: 01
              M: 04
              Text: Apr2023
              Type: published
              Y: 2023
          Identifiers:
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              Value: 01651684
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              Value: 205
          Titles:
            – TitleFull: Signal Processing
              Type: main
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