自适应拓扑的量子态生成参数化

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel quantum state generation method based on adaptive topology. We propose a framework that dynamically adjusts quantum state parameters to precisely control and optimize the quantum state. The core mechanism revolves around utilizing a continuously evolving topological structure to guide the evolution of the quantum state, offering a pathway towards more accurate and controllable quantum operations. This approach significantly expands the capabilities of quantum state generation compared to traditional static parameterization techniques. The paper details the design of the adaptive topology algorithm, its implementation, and preliminary experimental results demonstrating the method's effectiveness in generating specific quantum states. Finally, we discuss the potential implications of this approach for quantum information processing and quantum computing.

DOI: 10.5281/zenodo.22635822

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