Quantum-Inspired Constraint Satisfaction for Complex Constraint Sets

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of quantum-inspired constraint satisfaction algorithms to address complex constraint sets. Traditional constraint satisfaction algorithms struggle with large, intricate problem spaces, often exhibiting exponential complexity. We propose a novel algorithm that utilizes quantum-like "quantum state transitions" to efficiently explore the solution space, potentially offering a significant speedup compared to classical approaches. The core mechanism involves manipulating the state of the search space through quantum-inspired transitions, enabling the detection of optimal solutions more rapidly. We demonstrate the effectiveness of this approach through simulations and preliminary results, highlighting its potential for tackling challenging constraint sets.

DOI: 10.5281/zenodo.22186216

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