Quantum Classification

Quant Qaeda Classification is a quantum machine learning task that fundamentally constitutes a classification problem solved using quantum algorithms or quantum-enhanced models, distinguishing it from classical classification by leveraging quantum superposition, entanglement, or quantum measurement for improved or distinct decision-making.

57

Publications

2.9K

Citations

215

Authors

111

Institutions

Publications per year

2017–2026

50

Authors

215

  1. MM
    Massimo Melucci

    University of Padua, Italy

    3 publications · 107 citations

    3

    h-index

  2. PT
    Prayag Tiwari

    Halmstad University, Sweden

    3 publications · 107 citations

    3

    h-index

  3. RG
    Roberto Giuntini

    University of Cagliari, Italy

    3 publications · 111 citations

    3

    h-index

  4. GS
    Giuseppe Sergioli

    University of Cagliari, Italy

    3 publications · 111 citations

    3

    h-index

  5. YA
    Yazeed A. Al-Sbou

    Applied Science University, Bahrain

    2 publications · 128 citations

    2

    h-index

1–5 of 215

Venues

  1. Physical review. A/Physical review, A

    PRA · 4 publications · 467 citations

    4

    h-index

  2. Quantum Information Processing

    3 publications · 271 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 49 citations

    3

    h-index

  4. International Journal of Theoretical Physics

    3 publications · 224 citations

    3

    h-index

  5. 2

    h-index

1–5