Performance analysis of the quantum alternating operator ansatz for solving the minimum weighted vertex cover problem

The Quantum Alternating Operator Ansatz (QAOA+) extends the Quantum Approximate Optimization Algorithm (QAOA) to solve constrained combinatorial optimization problems more effectively. In this study, we explore the application of QAOA+ to the Minimum Weighted Vertex Cover (MWVC) problem in graph the...

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Bibliographic Details

Published in:	Physics letters. A Vol. 553; p. 130690
Main Authors:	Li, Guang-Hui, Wang, Sha-Sha, Ni, Xiao-Hui, Gao, Fei, Guo, Fen-Zhuo, Qin, Su-Juan, Wen, Qiao-Yan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 05.09.2025
Subjects:	Constrained combinatorial optimization problems Minimum weighted vertex cover Parameterized quantum circuits Quantum alternating operator ansatz Parameterized quantum circuits Quantum alternating operator ansatz Minimum weighted vertex cover Constrained combinatorial optimization problems
ISSN:	0375-9601
Online Access:	Get full text
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