基于自适应几何的量子拓扑的计算模型

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel computational model based on adaptive geometry to explore the unique properties of quantum topology, aiming to enhance the efficiency of quantum computation. Traditional topological computation models rely on static representations, while our approach dynamically adjusts the topology, offering a more flexible and potentially powerful framework. We introduce a framework that simulates complex topological structures using adaptive geometry, allowing for a more intuitive and efficient investigation of quantum phenomena. The core mechanism involves the continuous refinement of the topology through iterative adjustments, enabling the exploration of diverse quantum states and phenomena. This research investigates the impact of adaptive geometry on computational efficiency and offers a foundation for future advancements in quantum information processing.

DOI: 10.5281/zenodo.22298980

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