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Preprint Sep 2026

Experimental evidence of generalization in quantum machine learning in small-data regime

Quantum machine learning is a promising paradigm for learning from limited data, a central bottleneck in domains such as medical imaging, clinical trials, and rare diseases. Quantum convolutional neural networks (QCNNs) are particularly attractive in this setting, combining a hierarchical architecture with strong induc...

Leena Anthony, Artemiy Burov, N. Piro et al. · 0 citations

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