自适应拓扑结构中的量子纠缠增强计算

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of adaptive topology in quantum computation to enhance the accuracy and efficiency of quantum entanglement. Traditional quantum algorithms often rely on static parameter settings, limiting their potential. We propose a novel algorithm that dynamically adjusts the topology of a quantum system to optimize entanglement generation and manipulation, effectively boosting computational performance. The core mechanism centers around a self-adaptive topology, allowing the system to evolve and refine its structure in response to the input data, leading to improved results. This research focuses on the fundamental principles of topology and its integration into a quantum computing framework. The paper presents a theoretical framework and preliminary experimental results demonstrating the efficacy of this approach.

DOI: 10.5281/zenodo.22274695

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