自适应混沌理论的量子计算实现

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the potential of quantum computing to revolutionize the study and manipulation of self-organized chaotic systems. We present a novel algorithm, termed "Adaptive Chaos Quantum Engine" (ACQE), designed to achieve real-time parameter adjustment within a quantum system, thereby generating dynamic and unpredictable chaos. The core of the algorithm leverages quantum entanglement to create a feedback loop, allowing the system to subtly adjust its parameters based on observed outputs, ultimately leading to the emergence of complex, self-sustaining chaotic behavior. The paper details the theoretical framework underpinning the QE, including the quantum entanglement protocol and the feedback mechanism, and demonstrates preliminary results through simulations, showcasing the algorithm's capability to generate novel chaotic patterns. We argue that this approach offers a significant advancement over traditional methods, potentially unlocking new capabilities in areas like complex systems modeling and potentially even quantum simulation. Furthermore, we discuss the challenges and future directions for this research.

DOI: 10.5281/zenodo.22297252

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