Quantum Regression

Quantum Regression is a quantum machine learning framework that generalizes classical regression models by leveraging quantum algorithms to estimate continuous target variables through the processing of quantum-encoded data in superposition and entanglement.

88

Publications

4.6K

Citations

227

Authors

151

Institutions

Publications per year

2017–2026

46

Authors

227

  1. MH
    Min-Hsiu Hsieh

    University of Technology Sydney, Australia

    3 publications · 124 citations

    3

    h-index

  2. KM
    Klaus Mølmer

    Aarhus University, Denmark

    3 publications · 71 citations

    3

    h-index

  3. TL
    Tongliang Liu

    The University of Sydney, Australia

    2 publications · 71 citations

    2

    h-index

  4. MC
    Moritz Cygorek

    University of Bayreuth, Germany

    2 publications · 75 citations

    2

    h-index

  5. MS
    Maria Schuld

    University of KwaZulu-Natal, South Africa

    2 publications · 342 citations

    2

    h-index

1–5 of 227

Venues

  1. Physical review. A/Physical review, A

    PRA · 13 publications · 834 citations

    12

    h-index

  2. Physical Review A

    PRA · 10 publications · 399 citations

    10

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 153 citations

    6

    h-index

  4. Physical Review Letters

    PRL · 5 publications · 286 citations

    5

    h-index

  5. Physical Review B

    PRB · 4 publications · 165 citations

    4

    h-index

1–5