Quantum-Infused Neuro-Symbolic AI: A Novel Paradigm for Explainable Deep Learning
Abstract
The fusion of quantum computing with neuro-symbolic AI presents a transformative approach to achieving interpretability in deep learning models. This paper introduces Quantum-Infused Neuro-Symbolic AI (QINSAI), a novel framework that integrates quantum-enhanced probabilistic reasoning with deep neural networks. By leveraging quantum entanglement and superposition principles, QINSAI enhances model generalization and transparency while reducing computational complexity. Experimental results on benchmark datasets demonstrate superior accuracy and explainability compared to classical AI methods. The study outlines potential applications in healthcare diagnostics, autonomous systems, and financial modeling, paving the way for next-generation interpretable AI.
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