Quantum Anomaly Detection

Quantum Anomaly Detection is a quantum computational method that leverages principles of quantum superposition and entanglement to identify rare or deviant patterns in data, distinguished from classical anomaly detection by its utilization of quantum algorithms for enhanced efficiency in high-dimensional feature spaces.

42

Publications

2.2K

Citations

136

Authors

92

Institutions

Publications per year

2017–2026

32

Authors

136

  1. SV
    S. Vallecorsa

    Lawrence Berkeley National Laboratory, United States

    4 publications · 105 citations

    4

    h-index

  2. IT
    Ivano Tavernelli

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 105 citations

    4

    h-index

  3. MG
    Michele Grossi

    European Organization for Nuclear Research, Switzerland

    4 publications · 105 citations

    4

    h-index

  4. EP
    Ema Puljak

    European Organization for Nuclear Research, Switzerland

    3 publications · 90 citations

    3

    h-index

  5. VB
    Vasilis Belis

    ETH Zurich, Switzerland

    3 publications · 90 citations

    3

    h-index

1–5 of 136

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 102 citations

    4

    h-index

  2. Physical review. A/Physical review, A

    PRA · 3 publications · 201 citations

    3

    h-index

  3. Nuclear Physics B

    3 publications · 626 citations

    3

    h-index

  4. SciPost Physics

    2 publications · 21 citations

    2

    h-index

  5. Quantum Machine Intelligence

    2 publications · 131 citations

    2

    h-index

1–5