Quantum Control Landscapes
Quantum Control Landscapes is a mathematical framework that characterizes the relationship between quantum control objectives, such as state fidelity or gate accuracy, and the space of controllable parameters, such as electromagnetic field shapes or pulse sequences, by mapping the objective function’s dependence on control inputs to enable systematic optimization in quantum dynamical systems.
71
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3.3K
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93
Authors
52
Institutions
Publications per year
2017–2026
14
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Quantum Optimally Controlled Transition Landscapes
Herschel Rabitz, Michael Hsieh, C. M. Rosenthal · Science · 2004 · 435 citations
International Reviews in Physical Chemistry · 2007 · 162 citations · Full text
Are there Traps in Quantum Control Landscapes?
Alexander Pechen, David J. Tannor · Physical Review Letters · 2011 · 114 citations · Full text
Topology of optimally controlled quantum mechanical transition probability landscapes
Herschel Rabitz, Tak‐San Ho, Michael Hsieh et al. · Physical Review A · 2006 · 91 citations
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Princeton University
Princeton, United States
28 h-index
149 publications
6.8K citations
Tsinghua University
Beijing, China
12 h-index
16 publications
464 citations
University of Kassel
Kassel, Germany
4 h-index
11 publications
696 citations

Drexel University
Philadelphia, United States
4 h-index
6 publications
1.5K citations
Beijing Academy of Quantum Information Sciences
Beijing, China
4 h-index
6 publications
192 citations
Temple University
Philadelphia, United States
3 h-index
3 publications
95 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
381 citations

Weizmann Institute of Science
Rehovot, Israel
3 h-index
5 publications
315 citations
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PRA · 29 publications · 1.3K citations
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8 publications · 330 citations
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8 publications · 262 citations
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PRA · 5 publications · 138 citations
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PRL · 2 publications · 183 citations
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