Quantum Entanglement-Based Random Matrix Generation Algorithm (QEMGA)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces the Quantum Entanglement-Based Random Matrix Generation Algorithm (QEMGA), a novel approach to generating high-dimensional random matrices. Traditional matrix generation methods are often complex and lack the ability to produce high-quality random matrices. QEMGA leverages the unique properties of quantum entanglement to facilitate the creation of these matrices, offering a fundamentally new method for random matrix creation. We detail the algorithm's design, explain the underlying quantum mechanics, and present preliminary results demonstrating its effectiveness in generating complex random matrices. The research explores the potential of QEMGA to push the boundaries of randomness and offer a robust solution for applications requiring high-quality random matrix generation.

DOI: 10.5281/zenodo.22187925

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