The growing demand for computational and energy resources in neural network training presents a significant challenge. The authors demonstrate that quantum annealing platforms, like D-Wave, can efficiently train classical neural networks, achieving superior performance scaling compared to classical methods, with potential implications for more sustainable AI development.