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Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy.

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Title: Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy.
Authors: Akrom, Muhamad1, m.akrom@dsn.dinus.ac.id, Rustad, Supriadi1, srustad@dsn.dinus.ac.id, Dipojono, Hermawan Kresno1,2, dipojono@itb.ac.id, Maezono, Ryo3, Kasai, Hideaki4
Source: Expert Systems with Applications; Apr2026, Vol. 304, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191297031
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy.
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  Data: <searchLink fieldCode="JN" term="%22Expert+Systems+with+Applications%22">Expert Systems with Applications</searchLink>; Apr2026, Vol. 304, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191297031
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.eswa.2025.130817
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Akrom, Muhamad
      – PersonEntity:
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            NameFull: Rustad, Supriadi
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            NameFull: Dipojono, Hermawan Kresno
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            NameFull: Maezono, Ryo
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            NameFull: Kasai, Hideaki
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          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09574174
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            – Type: volume
              Value: 304
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            – TitleFull: Expert Systems with Applications
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