AINeutralarXiv – CS AI · 3h ago6/10
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Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
A comprehensive benchmarking study compares classical and quantum machine learning models for image recognition, finding that quantum models (QSVM and QCNN) achieve superior accuracy and efficiency in specific scenarios. While quantum neural networks require 94% fewer parameters than classical counterparts, they incur higher computational costs, suggesting practical quantum advantage exists only within defined operating windows.