基于动态自组织的混沌的量子计算模型
Jincheng Zhang
Abstract
This paper presents a novel dynamic self-organizing quantum computing model designed to achieve high precision and efficiency in quantum computation. Traditional quantum computing approaches often rely on static parameter adjustments, limiting computational capabilities. Our model leverages the inherent chaotic dynamics of self-organization to dynamically adjust the computation domain, enabling efficient resource utilization and enhanced performance. The core mechanism involves the continuous evolution of the computation field, driven by a feedback loop that optimizes for accuracy and speed. We demonstrate the model's effectiveness through theoretical analysis and preliminary simulations, highlighting its potential to revolutionize quantum computation.