Title: Dynamic Data Mapping via Quantum Entanglement

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates a novel dynamic data mapping algorithm leveraging the principles of quantum entanglement. Traditional data mapping techniques often rely on static parameter adjustments, limiting their effectiveness in dynamic scenarios. We propose a new algorithm that dynamically adjusts data mapping parameters based on input data, achieving enhanced signal processing performance. The core mechanism utilizes quantum entanglement to establish a self-organizing mapping process, allowing for real-time parameter adaptation. This approach offers a significant advancement in data processing, particularly when dealing with data that exhibits dynamic changes. The theoretical and experimental analyses demonstrate the algorithm's efficacy in various signal processing tasks.

DOI: 10.5281/zenodo.22187795

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