Feedback-based quantum strategies for constrained combinatorial optimization problems

Feedback-based quantum algorithms have recently emerged as potential methods for approximating the ground states of Hamiltonians. One such algorithm, the feedback-based algorithm for quantum optimization (FALQON), is specifically designed to solve quadratic unconstrained binary optimization problems...

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Veröffentlicht in:	Future generation computer systems Jg. 174; S. 107979
Hauptverfasser:	Abdul Rahman, Salahuddin, Karabacak, Özkan, Wisniewski, Rafal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2026
Schlagworte:	Feedback-based quantum algorithms Folded spectrum method Hotelling’s deflation method Noisy-intermediate scale quantum algorithms Quadratic constrained binary optimization problems Variational quantum algorithms Feedback-based quantum algorithms Folded spectrum method Quadratic constrained binary optimization problems Variational quantum algorithms Noisy-intermediate scale quantum algorithms Hotelling’s deflation method
ISSN:	0167-739X
Online-Zugang:	Volltext
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