Genetic algorithms as classical optimizer for the Quantum Approximate Optimization Algorithm

Optimization is one of the research areas where quantum computing could bring significant benefits. In this scenario, a hybrid quantum–classical variational algorithm, the Quantum Approximate Optimization Algorithm (QAOA), is receiving much attention for its potential to efficiently solve combinator...

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Veröffentlicht in:	Applied soft computing Jg. 142; S. 110296
Hauptverfasser:	Acampora, Giovanni, Chiatto, Angela, Vitiello, Autilia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2023
Schlagworte:	Genetic algorithms Quantum Approximate Optimization Algorithm Quantum computing Quantum optimization algorithms Quantum computing Quantum Approximate Optimization Algorithm Quantum optimization algorithms Genetic algorithms
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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