基于图的量子计算的自适应算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computing based on graph structures and quantum properties. The core idea is to design an adaptive quantum algorithm that leverages the inherent structure of the quantum system and its unique characteristics to enhance algorithm efficiency and stability. The algorithm employs graph representation and quantum circuit design to achieve self-adaptation, resulting in improved performance compared to traditional algorithms in certain scenarios. The paper details the proposed methodology, explores its potential benefits, and presents preliminary results demonstrating the effectiveness of the approach. The focus is on creating a framework for robust and adaptable quantum computation.

DOI: 10.5281/zenodo.22291642

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