基于自适应量子纠缠的计算模型

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a novel computational model based on adaptive quantum entanglement, aiming to enhance the efficiency of quantum computation. Traditional quantum algorithms often struggle with the inherent limitations of qubit decoherence and the difficulty in exploiting quantum entanglement for computation. This work introduces a dynamic entanglement scheme that adapts to the system's state, mitigating these issues. We propose a framework where the entanglement state is continuously adjusted based on the input data, improving the fidelity and robustness of quantum calculations. The core mechanism centers around intelligently manipulating entanglement to facilitate more complex operations. The proposed model demonstrates significant improvements in both computational speed and the ability to perform certain quantum algorithms, particularly those requiring intricate entanglement manipulation. The results showcase the potential of this approach to advance the field of quantum computing.

DOI: 10.5281/zenodo.22630133

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