基于自适应混沌的几何拓扑的量子计算模型

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computing is a rapidly advancing field with the potential to revolutionize various industries, including medicine, materials science, and cryptography. However, current quantum computing architectures face significant challenges, primarily related to qubit stability, error correction, and scalability. This research explores a novel approach to quantum computation utilizing a dynamically evolving geometric topology, specifically based on self-adaptive chaos. We propose a model that leverages the inherent unpredictability of chaotic systems to enhance quantum computation's efficiency, robustness, and overall utilization. This method aims to overcome limitations inherent in traditional static quantum algorithms. The core mechanism focuses on dynamically adjusting parameters within a chaotic environment, enabling a more adaptive and resilient quantum circuit. This represents a significant departure from conventional approaches, offering a potential pathway to more effective and scalable quantum technologies.

DOI: 10.5281/zenodo.22273326

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