Evolutionary algorithms and their application to optimal control studies
By Dirk Zeidler, S. Frey, K. Kompa, M. Motzkus. 2001
205 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/f0bf9f63ef41d34b6ddbc41e3163de450b66e7c6
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In Atomic and Molecular Physics, and Optics
Citations in the corpus
- Quantum machine learning (2016, unknown): “een successful in constructing a single-shot Tooli gate, again reaching gate delity above 99:9% [71]. Genetic algorithms have been employed to reduce digital and experimental errors in quantum gates [72]. They have been used to simulate CNOT gates by means of ancillary qubits and imperfect gates. Be”
- Quantum control of energy flow in light harvesting (2002, background): “2 , inset) provide feedback for a learning loop evolutionary algorith”