自适应拓扑的量子态生成

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel quantum state generation algorithm based on adaptive topology. The core concept is to leverage the self-similarity inherent in quantum states to dynamically shape the topology of the quantum state space, allowing for the generation of tailored quantum states. We propose a method that iteratively adjusts the topology through a series of transformations, resulting in states with specific properties. The algorithm's design is predicated on the observation that quantum states exhibit a strong correlation, which we exploit to guide the topological evolution. This approach offers enhanced control and adaptability compared to traditional static generation techniques, particularly in the context of quantum information processing and computation. We demonstrate the effectiveness of this algorithm through theoretical analysis and preliminary experimental results, illustrating its capability to generate complex and controllable quantum states.

DOI: 10.5281/zenodo.22319264

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