Quantum Resonance-Based Computational Geometry

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Resonance-Based Computational Geometry presents a novel approach to geometric computation utilizing quantum entanglement to generate and manipulate geometric patterns. This paper explores the potential of leveraging quantum entanglement to create stable, computationally efficient algorithms compared to traditional methods. We detail the core mechanism, focusing on the creation of entangled geometric primitives and their subsequent application within a quantum computing framework. The research investigates the advantages of this methodology, highlighting enhanced stability, faster computation, and the potential for novel geometric patterns. The paper concludes by outlining future research directions and emphasizing the significance of this approach for both fundamental research and potential applications in materials science and design.

DOI: 10.5281/zenodo.22278733

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