自适应拓扑的量子计算的动态拓扑调整

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum computing leveraging adaptive topology, offering a fundamentally different strategy compared to traditional methods. We introduce a dynamically-adjusted topology framework that allows for precise control over the quantum state evolution, ultimately enabling the prediction of quantum information storage efficiency. The core mechanism involves employing a sophisticated algorithm to iteratively refine the topology, guided by a feedback loop based on the calculated information storage characteristics. This adaptive process significantly improves the performance of quantum algorithms and offers a promising path towards enhanced computational capabilities. The results demonstrate a substantial increase in the accuracy of quantum information storage predictions, highlighting the potential of this dynamically-adjusted topology approach.

DOI: 10.5281/zenodo.22466691

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