基于动态熵的量子信息论的非线性计算

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the application of dynamic entropy as a core element in the development of non-linear quantum computation. Traditional quantum computing focuses on algorithm design, while this research proposes a novel approach leveraging the dynamic entropy property to enhance the efficiency of both information storage and transmission. Specifically, we explore a framework where dynamic entropy influences the quantum state evolution, enabling the potential for significantly more efficient quantum information processing. The paper details the theoretical groundwork, algorithmic implementations, and preliminary results demonstrating the potential benefits of this dynamic entropy-based approach. The core claim centers on the potential for a paradigm shift in quantum information storage and transmission through enhanced efficiency.

DOI: 10.5281/zenodo.22615474

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