多尺度量子自适应算法

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel multi-scale quantum self-adaptation algorithm designed to dynamically adjust quantum system parameters based on varying scales. Traditional quantum computing often relies on a single-scale approach, limiting its potential for optimized performance across a range of scales. This research proposes a method where the quantum system is treated as a multi-scale system, allowing for automated parameter adjustments to optimize system characteristics. We present a mechanism leveraging adaptive parameter control to achieve this goal. The core claim of this paper is that the proposed algorithm significantly enhances quantum system performance by intelligently adjusting parameters based on scale. This work addresses a critical challenge in quantum computing – the lack of inherent scalability – and provides a framework for optimized quantum system design.

DOI: 10.5281/zenodo.22280200

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