量子纠缠信息熵建模与计算

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum entanglement offers a fundamentally different approach to information processing compared to classical systems, promising enhanced computational capabilities. This paper explores the application of quantum entanglement to modeling and quantifying information entropy, specifically targeting the complexities inherent in quantum systems. We propose a novel approach that leverages the unique properties of entangled states to achieve precise entropy calculations and translate them into computationally viable operations. The core mechanism centers around a quantum entanglement-based encoding scheme, which allows for a more accurate representation of quantum information entropy than traditional methods. This research aims to develop a robust and scalable framework for analyzing and manipulating quantum information, potentially unlocking new avenues for quantum computing and information science. The proposed method offers a significant advance in the field of quantum information theory and its practical implementation.

DOI: 10.5281/zenodo.22315952

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