基于非线性自适应的几何-量子纠缠计算

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computing and data processing based on non-linear adaptive geometry-quantum entanglement. We propose a new algorithm that leverages the unique properties of geometric-quantum entanglement to achieve significantly enhanced computational speed and data handling capabilities compared to existing methods. The core of our design lies in a dynamically adjusted self-adaptation process applied to the entanglement structure, enabling efficient manipulation of complex quantum states. This research explores the potential of this approach to address challenges in both quantum information theory and practical computation. The paper details the algorithm's architecture, presents preliminary results demonstrating improved performance, and discusses future research directions.

DOI: 10.5281/zenodo.22514502

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