基于自适应的量子纠缠计算算法

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement is a fundamental phenomenon in quantum mechanics, exhibiting correlations between particles that cannot be explained by classical physics. It holds immense potential for quantum technologies, including quantum computing and quantum communication. However, the practical implementation of quantum algorithms often faces significant challenges due to the fragility of quantum states and the difficulty in maintaining entanglement. This paper introduces a novel quantum entanglement computation algorithm, leveraging adaptive strategies to optimize computation efficiency and accuracy. We propose a dynamic adjustment of the quantum state's measurement strategy based on the entangled state's complexity and desired precision. The core mechanism involves learning and adapting the quantum state's transformation based on the entanglement's inherent characteristics. This adaptive approach significantly enhances the algorithm's ability to effectively utilize quantum resources and achieve superior performance compared to static approaches. The paper details the algorithm's implementation, performance analysis, and potential impact on quantum computation.

DOI: 10.5281/zenodo.22608539

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