Quantum-Enhanced Constraint Propagation for Complex Scheduling

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the application of quantum computing to optimize scheduling algorithms, specifically targeting complex, dynamic systems. Current scheduling methods often struggle with intricate constraints and evolving demands, leading to inefficient resource allocation and suboptimal performance. We propose a novel quantum-enhanced constraint propagation scheme, leveraging quantum algorithms to accelerate the search for optimal schedules. The core mechanism focuses on exploring the solution space more efficiently, potentially reducing computational complexity significantly. This research explores the potential of quantum computing to overcome limitations inherent in traditional scheduling techniques, offering a promising avenue for improved scheduling efficiency. The paper details the implementation of the proposed scheme, demonstrates preliminary results, and discusses future research directions.

DOI: 10.5281/zenodo.22637513

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