Quantum Nonlinear System Modeling Framework

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum nonlinear system modeling framework aims to provide precise predictions and control of complex systems, particularly those characterized by intricate interactions and dynamic changes. This paper introduces a novel framework leveraging quantum computing simulations to address challenges posed by traditional modeling approaches. We propose a method utilizing quantum algorithms to emulate the behavior of non-linear systems, emphasizing the unique capabilities of quantum mechanics – specifically quantum gates and quantum entanglement – to facilitate accurate prediction and control. The core mechanism centers on the application of quantum simulations to model systems exhibiting complex dynamics. This framework offers a significant advancement over conventional methods by providing enhanced precision and adaptability to systems with intricate interactions and temporal evolution.

DOI: 10.5281/zenodo.22454269

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