Chaos System Simulation based on Quantum Computing

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the potential of quantum computing for simulating chaotic systems. Traditional methods of chaotic system simulation are often limited by the precision and efficiency of classical computation. This research proposes leveraging the unique capabilities of quantum computing, specifically quantum chaos algorithms, to overcome these limitations. The core idea involves utilizing quantum superposition and interference to accurately model the dynamics of chaotic systems. We present a theoretical framework for this approach, outlining the key mathematical formulations and demonstrating how quantum mechanics can provide a more accurate and efficient simulation compared to classical methods. The paper focuses on the theoretical underpinnings and potential benefits, without presenting experimental results. We aim to establish a foundation for future research in this burgeoning field.

DOI: 10.5281/zenodo.22274249

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