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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Vydané v:	Quantum machine intelligence Ročník 6; číslo 2
Hlavní autori:	Falla, Jose, Langfitt, Quinn, Alexeev, Yuri, Safro, Ilya
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.12.2024
Predmet:	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
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