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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Bibliographic Details

Published in:	Future generation computer systems Vol. 174; p. 107979
Main Authors:	Abdul Rahman, Salahuddin, Karabacak, Özkan, Wisniewski, Rafal
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2026
Subjects:	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 Access:	Get full text
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