非线性图论的量子计算优化算法

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing optimization algorithm based on graph theory, leveraging the inherent structure of quantum systems to achieve enhanced performance. The core mechanism involves constructing a quantum graph representing the problem space and employing graph-based optimization techniques to guide the quantum computation towards optimal solutions. This approach promises significant improvements in the efficiency of quantum algorithms across a range of applications, particularly those involving complex optimization challenges. The paper explores the theoretical foundations and practical implementation of this algorithm, emphasizing its potential to unlock new capabilities within quantum computation.

DOI: 10.5281/zenodo.22278683

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