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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Bibliographic Details

Published in:	Applied soft computing Vol. 142; p. 110296
Main Authors:	Acampora, Giovanni, Chiatto, Angela, Vitiello, Autilia
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.07.2023
Subjects:	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 Access:	Get full text
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