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.
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Publications
679
Citations
37
Authors
11
Institutions
Publications per year
2017–2026
5
Variants
Chopped Random Basis Algorithm
Parents
8
Chopped random-basis quantum optimization
Tommaso Caneva, Tommaso Calarco, Simone Montangero · Physical Review A · 2011 · 400 citations · Full text
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Joint Institute for Laboratory Astrophysics, United States
1 publications · 82 citations
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China State Construction Engineering (China)
Beijing, China
1 h-index
1 publications
21 citations
University of Oregon
Eugene, United States
1 h-index
3 publications
42 citations
Kyushu Institute of Technology
Kitakyushu, Japan
1 h-index
5 publications
225 citations

Joint Institute for Laboratory Astrophysics
Boulder, United States
1 h-index
4 publications
328 citations
Ajman University
Ajman, United Arab Emirates
1 h-index
6 publications
162 citations
Universität Ulm
Ulm, Germany
1 h-index
3 publications
1.2K citations

Aarhus University
Aarhus, Denmark
1 h-index
4 publications
320 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
164 citations
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PRA · 2 publications · 94 citations
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1 publications · 27 citations
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PRA · 1 publications · 400 citations
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1 publications · 45 citations
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Conference · 1 publications · 10 citations
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