Dynamic Quantum Adaptive Geometry Transformation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper presents a novel geometric transformation algorithm based on dynamic quantum entanglement. Traditional geometric transformation methods often rely on manual adjustments, limiting their efficiency and adaptability. We propose a system that leverages quantum entanglement to automatically adjust transformation parameters, enabling optimized geometric modeling and design. The core mechanism centers around the manipulation of entangled quantum states to achieve a continuous and adaptive transformation process. This approach offers a potential paradigm shift in geometric computation, demonstrating enhanced efficiency and versatility compared to conventional methods. The algorithm is designed to handle complex geometric transformations with minimal human intervention.

DOI: 10.5281/zenodo.22267815

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