Graph representation learning for parameter transferability in quantum approximate optimization algorithm

The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. Optimal QAOA parameter concentration effects for special MaxCut problem instances have been observed, but a rigorous stud...

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Bibliographic Details

Published in:	Quantum machine intelligence Vol. 6; no. 2
Main Authors:	Falla, Jose, Langfitt, Quinn, Alexeev, Yuri, Safro, Ilya
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.12.2024
Subjects:	Artificial Intelligence Computational Intelligence Engineering Quantum Information Technology Review Article Spintronics Quantum computing Quantum approximate optimization algorithm Quantum software Quantum optimization Error mitigation Parameter transferability
ISSN:	2524-4906, 2524-4914
Online Access:	Get full text
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