Quantum Entanglement-Based Random Matrix Generation

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum entanglement, a peculiar phenomenon in quantum mechanics, presents a unique opportunity for generating highly complex and statistically diverse random matrices. This paper explores the development of a novel random matrix generation algorithm leveraging quantum entanglement to produce matrices suitable for machine learning training and optimization. We detail the core mechanism, focusing on the instantaneous nature of entanglement and its application to matrix manipulation, demonstrating a potential paradigm shift in this field. Quantum entanglement offers a novel approach to randomness, potentially surpassing traditional methods in generating matrices with enhanced statistical properties.

DOI: 10.5281/zenodo.22253430

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