Quantum-Controlled Random Number Generation for Complex Simulations

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum-Controlled Random Number Generation (QCRNG) presents a novel approach to generating truly random numbers, offering the potential to significantly enhance the complexity and statistical diversity of simulations, particularly in fields demanding high-fidelity results. This paper explores the application of quantum mechanics to establish a fundamentally different mechanism for random number creation, aiming to overcome limitations inherent in classical random number generators. We detail the theoretical foundations, potential implementation challenges, and preliminary experimental results demonstrating the feasibility of utilizing quantum entanglement and superposition to produce more robust and varied random numbers. The core claim centers on the capability of QCRNG to generate sequences of numbers with increased statistical complexity and a substantially reduced dependence on deterministic algorithms, thereby facilitating more realistic and accurate simulations.

DOI: 10.5281/zenodo.22219725

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