Title: Quantum Resonance-Based Constraint Satisfaction

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum Resonance-Based Constraint Satisfaction presents a novel approach to Constraint Satisfaction Problems (CSPs) centered around the concept of resonant frequencies within a quantum system. We propose a new CSP paradigm that utilizes the inherent properties of quantum mechanics to generate a dynamic and globally optimal solution space. This system leverages the principle that the resonant frequencies of a quantum system directly influence the solution's structure and properties. The core mechanism involves an algorithm that analyzes and manipulates these frequencies, effectively guiding the search for the most efficient and accurate solution. This innovative methodology offers a fundamentally different paradigm compared to conventional CSPs, potentially leading to substantial improvements in algorithm design and solution quality. This paper explores the theoretical foundations of this approach, details the proposed quantum algorithm, and discusses the potential implications for various CSP applications.

DOI: 10.5281/zenodo.22290417

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