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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Veröffentlicht in:	Quantum machine intelligence Jg. 6; H. 2
Hauptverfasser:	Falla, Jose, Langfitt, Quinn, Alexeev, Yuri, Safro, Ilya
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2024
Schlagworte:	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-Zugang:	Volltext
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