Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm

Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm

The quantum approximate optimization algorithm/quantum alternating operator ansatz (QAOA) is a heuristic to find approximate solutions of combinatorial optimization problems. Most of the literature is limited to quadratic problems without constraints. However, many practically relevant optimization...

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Bibliographic Details
Main Authors: Franz Georg Fuchs, Kjetil Olsen Lye, Halvor Møll Nilsen, Alexander Johannes Stasik, Giorgio Sartor
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Algorithms
Subjects:
quantum algorithms
Online Access:https://www.mdpi.com/1999-4893/15/6/202

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