The Quantum Entanglement-Based Hyperdimensional Geometric Representation

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the potential of quantum entanglement to represent hyperdimensional geometric structures, offering a novel approach to high-dimensional data analysis and computation. We investigate the utilization of entanglement to encode data in a way that enhances both encoding and transmission, aiming to significantly improve computational efficiency. The core mechanism relies on exploiting the unique properties of quantum entanglement to achieve a more efficient data representation and facilitate calculations. This work addresses a significant gap in current research by proposing a new methodology grounded in the fundamental principles of quantum mechanics. The investigation of this approach may lead to the discovery of new geometric properties and computational paradigms.

DOI: 10.5281/zenodo.22504713

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