Non-Euclidean Geometry and Quantum Computing: Adaptive Topology for Efficient Parallel Computation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the integration of non-Euclidean geometry with quantum computing to achieve novel levels of parallel computation and adaptive topology. Traditional methods often struggle with complex geometric problems, limiting their applicability. We propose a novel framework leveraging quantum entanglement to establish a '拓扑桥接' mechanism, enabling the quantum computer to directly interact with and manipulate geometric structures. This approach holds the potential for significant advancements in computational efficiency and allows for self-adaptive topology, offering a pathway toward enhanced parallel processing capabilities. We detail the core mechanism, present the potential benefits, and outline future research directions.

DOI: 10.5281/zenodo.22276677

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