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Title: Fractal Dimension as a Quantum Field Parameter

Jincheng Zhang

Published Sep 6, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of fractal dimension as a quantum field parameter, proposing a novel algorithm that utilizes quantum entanglement to establish a non-local, probabilistic connection between the field's structure and its fractal properties. The core claim is that quantifying the fractal dimension of a field using this approach offers a radically different perspective compared to traditional methods, potentially unveiling previously unseen patterns and complexities within the field's geometry. We outline the algorithm's methodology, detailing the use of quantum entanglement to generate a probabilistic field that evolves in response to the data, ultimately leading to a refined fractal dimension estimate. This work addresses fundamental questions about the relationship between geometry, quantum mechanics, and the representation of complex systems.

DOI
10.5281/zenodo.22498702

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Quantum-enhanced fractal dimension estimation presents a novel approach to data analysis, leveraging quantum entanglement to facilitate a more accurate and comprehensive exploration of fractal structures than conventional classical methods. This paper explores the potential of this technique, focusing on its ability to mitigate the limitations of classical algorithms in handling high-dimensional data and accurately characterize complex fractal patterns. We detail the fundamental principles of quantum entanglement and its application to this task, presenting a theoretical framework and preliminary experimental results demonstrating improved fractal dimension estimation accuracy. The core mechanism centers around utilizing entanglement to create a more holistic representation of the data's underlying fractal structure, offering a potential paradigm shift in the field of data analysis.
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