自适应拓扑变换的量子计算加速

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum computing holds tremendous potential for solving complex problems currently intractable for classical computers. However, achieving practical quantum computation requires overcoming significant challenges, including decoherence and the limitations of current quantum algorithms. This paper explores a novel approach to quantum computing acceleration – the implementation of adaptive topology transformations. We present a method for dynamically adjusting the topology of quantum systems to enhance computational efficiency and stability, leveraging the unique properties of quantum topology. This research focuses on a deep understanding of the impact of topology on quantum dynamics and proposes a framework for leveraging this knowledge to optimize quantum circuits. The proposed method offers a promising path towards overcoming existing bottlenecks in quantum computation.

DOI: 10.5281/zenodo.22322062

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