Quantum-Enhanced Topological Data Analysis (QDATA)
Jincheng Zhang
Abstract
Quantum-Enhanced Topological Data Analysis (QDATA) is a novel algorithm designed to accelerate and enhance the analysis of topological data, leveraging the principles of quantum annealing to uncover hidden correlations within complex datasets. This paper proposes a framework that utilizes quantum annealing to identify subtle patterns and relationships often missed by classical methods, ultimately leading to new discoveries and insights in data analysis. The core mechanism centers around exploiting quantum phenomena to effectively explore and analyze topological structures, demonstrating potential for significantly improved efficiency and the revealing of previously unseen data.