基于图的自适应量子态搜索

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for quantum state search based on graph topology, aiming to efficiently explore complex quantum states. Traditional approaches often focus on specific states, but this work leverages the inherent topological structure of graphs to optimize the search process. We propose a method that constructs a search space informed by graph topology and utilizes graph properties to guide the search, resulting in enhanced efficiency compared to existing methods. The core mechanism involves constructing a graph representation of the potential state space and employing graph-based optimization techniques to navigate this space. We demonstrate the effectiveness of this approach through a series of simulations, showcasing its ability to find complex states with improved search speed and robustness.

DOI: 10.5281/zenodo.22184297

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