Quantum Support Vector Machines

Quantum Support Vector Machines is a quantum machine learning algorithm that extends classical support vector machines by leveraging quantum computation to perform kernel-based classification in high-dimensional feature spaces exponentially faster through quantum state manipulation.

111

Publications

6.8K

Citations

383

Authors

198

Institutions

Publications per year

2017–2026

101

Authors

383

  1. MR
    Morris Riedel

    Forschungszentrum Jülich, Germany

    4 publications · 156 citations

    4

    h-index

  2. KM
    Kristel Michielsen

    University of Groningen, Netherlands

    4 publications · 156 citations

    4

    h-index

  3. GC
    Gabriele Cavallaro

    University of Florence, Italy

    4 publications · 156 citations

    4

    h-index

  4. ZW
    Zichen Wang

    Beijing University of Technology, China

    3 publications · 84 citations

    3

    h-index

  5. FP
    Francesco Petruccione

    University of KwaZulu-Natal, South Africa

    3 publications · 108 citations

    3

    h-index

1–5 of 383

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 162 citations

    8

    h-index

  2. IEEE Access

    5 publications · 225 citations

    5

    h-index

  3. Quantum Machine Intelligence

    5 publications · 185 citations

    5

    h-index

  4. Physical review. A/Physical review, A

    PRA · 4 publications · 183 citations

    4

    h-index

  5. Quantum Information and Computation

    QIC · 3 publications · 68 citations

    3

    h-index

1–5