基于量子拓扑的自适应量子计算的量子算法优化

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computation holds immense potential for scientific discovery and technological advancement, but the development of efficient quantum algorithms is a significant challenge. This paper explores the application of quantum topology to optimize quantum algorithms, proposing a novel approach that leverages the inherent structure of quantum systems to dynamically adjust algorithm parameters, ultimately leading to enhanced computational efficiency. We introduce a method based on identifying and exploiting topological features within quantum circuits to guide optimization. The core mechanism focuses on using quantum topology to automatically re-parameterize circuits, mitigating the need for manual tuning and promoting more robust and adaptable algorithms. We present a theoretical framework and preliminary experimental results demonstrating the effectiveness of this technique. The resulting algorithm offers a promising pathway toward more efficient quantum computation, potentially bridging the gap between theoretical promise and practical implementation.

DOI: 10.5281/zenodo.22270614

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