Quantum Entanglement Model based on Bio-Information

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This research investigates the potential of utilizing bio-information as a foundational element to construct a novel quantum entanglement model. Traditional quantum entanglement models often rely on complex mathematical frameworks, limiting their applicability to specific scenarios. This work proposes a paradigm shift by explicitly incorporating biological information – specifically, the structure of biochemical reactions and the inherent information encoded within biological data – into the model's core. We aim to simulate quantum entanglement's physical properties and evolution by dynamically modeling these biological elements. This integrated approach promises to offer a more intuitive and potentially more robust framework for understanding and potentially manipulating quantum phenomena. The core mechanism centers around creating a computational model that mirrors the intricate interplay of biological systems and quantum mechanics. The research explores the implications of such a model for various quantum computing applications and the potential for novel insights into the fundamental nature of entanglement.

DOI: 10.5281/zenodo.22315383

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