Title: Adaptive Constraint Mapping using Quantum Interference

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the application of quantum interference principles to enhance constraint mapping. Traditional constraint handling methods often face limitations in dealing with complex and dynamic constraints. We propose an adaptive constraint mapping system leveraging quantum interference to create multiple, dynamically explored paths through a constraint space. This approach aims to overcome these limitations by enabling more flexible and efficient constraint resolution. The core mechanism involves generating multiple quantum states representing possible constraint configurations, allowing for exploration of a larger solution space and facilitating adaptive handling of constraints. This work introduces a novel framework for constraint mapping that demonstrates improved performance and robustness compared to classical methods in scenarios involving intricate constraint structures. The results showcase a significant enhancement in the ability to resolve constraints and optimize solutions within constrained environments.

DOI: 10.5281/zenodo.22330710

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