自适应几何拓扑的量子信息编码

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper investigates the application of self-adaptive geometric topology in quantum information encoding. Traditional quantum information encoding methods rely on static parameters, limiting their potential for efficient compression. We propose a novel algorithm that leverages the inherent properties of quantum geometry to dynamically adjust encoding strategies, thereby significantly improving information compression rates. This work introduces a mechanism utilizing quantum geometric topology to achieve this adaptation, offering a substantial advancement in the field of quantum information encoding. The paper details the core concepts, the proposed algorithm's architecture, and the results demonstrating the effectiveness of the dynamic encoding approach. The focus is on exploring the potential of self-adaptive geometric topology to overcome limitations of conventional encoding techniques.

DOI: 10.5281/zenodo.22242189

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