自适应拓扑的量子算法加速

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum computing holds immense promise for tackling complex problems currently intractable for classical computers. However, the development and implementation of quantum algorithms are often limited by the inherent computational complexity of these algorithms. This paper investigates a novel quantum algorithm acceleration technique based on adaptive topology, leveraging the unique properties of quantum entanglement to significantly enhance the performance of various quantum algorithms. We propose a framework wherein the algorithm dynamically adjusts its quantum state to optimally exploit entanglement, thereby dramatically reducing computational time and increasing the likelihood of achieving desired outcomes. Our work demonstrates the efficacy of this approach through detailed theoretical analysis and successful implementation of several quantum algorithms, highlighting its potential to revolutionize quantum computing.

DOI: 10.5281/zenodo.22299230

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