Quantum Entanglement Information Encoding: A Matrix Evolution Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the potential of utilizing quantum entanglement to encode and process mathematical matrices, leveraging the instantaneous correlations inherent in this phenomenon. We explore a novel algorithm that employs a matrix evolution process guided by quantum entanglement, aiming to achieve unprecedented accuracy and computational speed in matrix calculations. The core mechanism centers around introducing quantum effects within a matrix evolution algorithm, driven by the entangled state of the matrix itself. This research delves into the theoretical and practical implications of this approach, with a particular focus on its potential for revolutionizing quantum computation. The study aims to demonstrate the feasibility of harnessing entanglement for significant advancements in matrix manipulation and information processing. The findings will address the challenges and opportunities presented by this paradigm shift in computational methods.

DOI: 10.5281/zenodo.22197332

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