Quantum-Enhanced Bayesian Inference in Complex Networks

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum-enhanced Bayesian inference aims to improve the accuracy and speed of inference in complex networks by incorporating quantum principles. This paper explores the potential of quantum annealing and superposition to address limitations of existing algorithms, particularly in handling high-dimensional and intricate network structures. We present a novel algorithm that leverages these quantum mechanics concepts to enhance probabilistic representation and lead to more reliable inference results. The core claim is that quantum-enhanced Bayesian inference offers significant advancements over classical methods, particularly for large-scale complex networks.

DOI: 10.5281/zenodo.22158965

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