基于自适应的量子拓扑计算框架 (QACF)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel quantum topology computing framework, the QACF, designed to facilitate adaptive quantum computation. Traditional approaches to quantum computation often struggle with complex and computationally demanding tasks. The QACF addresses this limitation by incorporating dynamic adjustment of quantum states, enabling a more efficient and scalable computational process. We demonstrate the framework's potential through a series of simulations illustrating its ability to tackle problems previously intractable for standard quantum algorithms. The core mechanism leverages the inherent adaptability of quantum topology, allowing for targeted optimization of quantum states during computation. This results in reduced computational complexity and improved performance.

DOI: 10.5281/zenodo.22459600

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