Self-Organized Chaotic Quantum Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel self-organized chaotic quantum algorithm designed for dynamic control of complex systems. Traditional quantum control methods often require extensive manual parameter tuning, limiting the adaptability of quantum systems. Our algorithm leverages the inherent properties of chaotic dynamics and quantum computation to achieve automatic parameter adjustment, providing a pathway towards more flexible and robust control. We detail the core mechanism, highlighting the key steps involved in establishing and maintaining the chaotic system, and demonstrate its effectiveness through theoretical analysis and preliminary simulations. This algorithm offers a paradigm shift in quantum system management, potentially unlocking new capabilities in areas such as molecular dynamics simulations, materials science, and fundamental physics research. The core claim emphasizes the algorithm's ability to autonomously adjust quantum system parameters, enabling dynamic control of complex systems.

DOI: 10.5281/zenodo.22191655

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