自适应信息论的量子纠缠分析

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This research investigates the potential of self-adaptive information theory to analyze quantum entanglement, aiming to identify novel advantages in algorithm optimization and information processing. We propose a novel framework leveraging the unique properties of quantum entanglement to dynamically adjust and refine information-theoretic analysis, ultimately uncovering potential computational gains and strategic insights. The core mechanism involves utilizing entanglement as a 'channel' for information transfer, enabling enhanced algorithmic efficiency and a deeper understanding of quantum information's inherent capabilities. This study presents a preliminary investigation utilizing a simplified model to demonstrate the potential of this approach. The research focuses on exploring the impact of strategically manipulating entanglement parameters on the results of various information-theoretic metrics.

DOI: 10.5281/zenodo.22200580

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