Quantum Computing Constraint Optimization Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing constraint optimization algorithm designed to address the challenges posed by large-scale constraint optimization problems. Traditional methods often struggle with the computational complexity of these problems, while this algorithm leverages quantum entanglement and quantum algorithms to significantly enhance efficiency and computational power. The core mechanism involves transforming the optimization problem into a quantum algorithm, exploiting quantum properties to improve algorithm performance. This research explores the potential of quantum computing to revolutionize the field of constraint optimization, offering a promising approach to tackling complex real-world problems.

DOI: 10.5281/zenodo.22263529

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