Information Entropy's Non-Linear Aggregation, Based on Quantum Entanglement

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the potential of quantum entanglement to revolutionize information entropy calculation and analysis. Traditional methods often struggle with the inherent complexity of information systems, necessitating advanced computational techniques. We propose a novel approach – information entropy aggregation via quantum entanglement – that leverages the unique properties of quantum mechanics to achieve unprecedented accuracy and efficiency. The core mechanism centers around establishing a system where information entropy is aggregated through the controlled entanglement of quantum states, offering a fundamentally different pathway to understanding and quantifying information content. This work investigates the theoretical implications of this approach, exploring its potential to overcome limitations of classical approaches and uncover deeper insights into the nature of information.

DOI: 10.5281/zenodo.22494734

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