Nonlinear Quantum Computing Random Matrix Generation

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel randomized matrix generation algorithm based on nonlinear quantum computing principles. Traditional matrix generation methods often struggle to accurately represent the complex behavior of quantum systems, necessitating the development of more sophisticated approaches. Our algorithm leverages quantum randomness and quantum entanglement to produce matrices with intricate structures and distributions, offering a promising pathway for enhanced quantum simulation capabilities. This work presents a complete description of the algorithm, its mathematical foundations, and its potential applications within the field of quantum simulation.

DOI: 10.5281/zenodo.22154024

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