自适应拓扑量子计算的量子算法复杂度分析

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates the quantum algorithm complexity analysis of adaptive topology quantum computing, proposing a novel method that dynamically adjusts quantum algorithm structures to enhance efficiency. Traditional algorithm complexity analysis typically employs static approaches, while this framework leverages quantum topology to optimize the algorithm's process. This work presents a framework for dynamically restructuring quantum circuits to achieve improved performance. We detail the core mechanism, exploring how the use of quantum topology allows for more efficient computation through iterative adjustments. The analysis demonstrates the effectiveness of this approach in specific quantum algorithms, highlighting its potential for advancing the field of quantum computation.

DOI: 10.5281/zenodo.22295286

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