基于自适应的拓扑变换的量子计算框架

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a novel quantum computing framework based on adaptive topology transformations. Traditional quantum computing approaches often rely on fixed, static transformations, limiting their expressiveness and computational power. Our framework leverages dynamically adjusted topological transformations, enabling precise and efficient manipulation of quantum states through the application of quantum entanglement. We detail the core mechanism of this framework, emphasizing the dynamic nature of the transformations and their potential to significantly enhance computational capabilities. The proposed method offers a fundamentally new approach to quantum algorithm design and optimization, promising improved performance in complex quantum simulations and quantum state manipulation. We provide a detailed mathematical model and discuss the implications for future research and development in the field of quantum computing.

DOI: 10.5281/zenodo.22635523

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