拓扑几何的量子计算的动态拓扑调整

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the application of topological geometry to quantum computing, proposing a novel quantum computing framework that dynamically adjusts the topology of the quantum system to enhance efficiency and stability. We introduce a dynamic topology adjustment algorithm based on the principles of topological invariants, allowing for a flexible and adaptable quantum state. The core mechanism involves iteratively refining the quantum state through the application of these adjustments, resulting in increased computational accuracy and reduced error rates. Furthermore, we utilize the computational output to predict the efficiency of quantum information storage, offering insights into potential improvements. This work represents a significant step towards developing more robust and scalable quantum computing architectures.

DOI: 10.5281/zenodo.22466661

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