Title: Quantum-Enhanced Iterative Constraint Propagation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum-enhanced iterative constraint propagation aims to accelerate the optimization process by incorporating quantum algorithms to improve the efficiency of the iterative constraint propagation technique. This paper presents a novel approach utilizing quantum parallelism to explore the solution space more effectively, resulting in a significant reduction in computation time compared to classical methods. We detail the implementation of a quantum-enhanced iterative constraint propagation framework, including the selection of suitable quantum algorithms and the optimization of parameters for achieving optimal performance. The research explores the potential of quantum computing to overcome the limitations of traditional iterative methods, offering a promising pathway toward faster and more efficient optimization. The study examines the impact of quantum parallelism on the algorithm's execution time and provides a preliminary analysis of the achievable speedup.

DOI: 10.5281/zenodo.22290459

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