Title: Quantum-Inspired Constraint Programming (QICP)

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum-Inspired Constraint Programming (QICP) is a novel programming paradigm centered on the integration of quantum-inspired algorithms for constraint solving. This paper explores the potential of leveraging these algorithms to accelerate constraint satisfaction problems and enhance solution quality, offering a significant improvement over traditional methods. We detail the design of a new set of constraint propagation and search algorithms, highlighting their inherent efficiency and potential impact on solving complex problems. The core claim of this work is that QICP will provide substantial speedups and improved solution quality compared to existing approaches, particularly for large, intricate constraint satisfaction problems. This research will cover the fundamental concepts, algorithm design, and preliminary results demonstrating the effectiveness of QICP in solving specific problem instances. The paper concludes with a discussion of future research directions and potential applications of this paradigm.

DOI: 10.5281/zenodo.22243220

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