基于自适应拓扑的量子态生成算法

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum state generation algorithm based on adaptive topology. Traditional quantum state generation methods often rely on manual design, lacking the ability for automatic learning. Our algorithm leverages the power of topological structures to efficiently generate specific quantum states, offering enhanced capabilities for quantum computing optimization and control. This approach overcomes limitations of existing techniques by providing a dynamically constructed state space that can be tailored for specific computational tasks. We present a framework for generating and manipulating quantum states utilizing adaptive topology, demonstrating its potential for significant improvements in quantum algorithm performance. The core mechanism involves constructing a topological structure that guides the creation of desired quantum states, with a focus on practical applications within quantum computing.

DOI: 10.5281/zenodo.22299254

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