Crab Algorithm

The CRAB Algorithm is a quantum optimal control method that belongs to the class of gradient-free optimization algorithms, distinguished by its use of truncated basis functions and iterative search strategies to efficiently shape control pulses for high-dimensional quantum systems.

8

Publications

679

Citations

37

Authors

11

Institutions

Publications per year

2017–2026

5

Variants

Chopped Random Basis Algorithm

Authors

37

  1. MA
    Mark A. Fiala

    Washington University in St. Louis, United States

    1 publications · 27 citations

    1

    h-index

  2. YD
    Yi Di

    Hubei University Of Economics, China

    1 publications · 21 citations

    1

    h-index

  3. TU
    Tamaki Ura

    The University of Tokyo, Japan

    1 publications · 45 citations

    1

    h-index

  4. MM
    Margaret M. Murnane

    Joint Institute for Laboratory Astrophysics, United States

    1 publications · 82 citations

    1

    h-index

  5. ZD
    Zegang Ding

    Beijing Institute of Technology, China

    1 publications · 10 citations

    1

    h-index

1–5 of 37

Venues

  1. Physical review. A/Physical review, A

    PRA · 2 publications · 94 citations

    2

    h-index

  2. JCO Clinical Cancer Informatics

    1 publications · 27 citations

    1

    h-index

  3. Physical Review A

    PRA · 1 publications · 400 citations

    1

    h-index

  4. Journal of Marine Science and Technology

    1 publications · 45 citations

    1

    h-index

  5. Synthetic Aperture Radar (EUSAR), 2010 8th European Conference on

    Conference · 1 publications · 10 citations

    1

    h-index

1–5