Self-Adaptive Chaos Systems Modeling Quantum Computing Framework

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing framework designed for the efficient modeling and analysis of chaotic systems. The framework leverages quantum computation's unique properties to enhance the simulation and prediction capabilities of complex chaotic phenomena. Specifically, we propose a quantum algorithm tailored to address the inherent challenges of chaotic systems, including sensitivity to initial conditions and non-linear dynamics. This design focuses on creating a robust and adaptable system for tackling challenging problems in diverse fields, including fluid dynamics, climate modeling, and financial markets. The core mechanism involves integrating quantum algorithms with existing quantum computing infrastructure to facilitate the accurate representation and manipulation of chaotic variables. We demonstrate the framework's efficacy through simulations of several chaotic systems, highlighting its potential for advanced analysis and forecasting. The paper concludes with a discussion of the challenges and future directions of this research.

DOI: 10.5281/zenodo.22251349

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