Quantum Entanglement-Generated Random Matrix Generation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum entanglement offers a unique pathway to generating highly complex and high-dimensional random matrices, offering significant advantages for simulating physical systems and data analysis. This paper investigates a novel algorithm leveraging quantum entanglement to generate these matrices, employing automated adjustments to optimize results. We introduce a mechanism that generates entangled states and utilizes the entanglement to create a complex matrix structure, significantly expanding the capabilities of random matrix generation compared to traditional methods. The core claim is that this algorithm produces matrices with intricate structures and high-dimensional features, demonstrating improved performance in simulation and data analysis tasks.

DOI: 10.5281/zenodo.22289409

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