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A. Perdomo-Ortiz

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#machine learning Preprint Aug 2026

"Train classical, deploy quantum"requires rethinking generalization

The results indicate that a converged moment-matching loss is not a reliable measure of generalization, and that train-classical, deploy-quantum workflows will need approaches that target generalization directly, leaving open whether better training objectives suffice or whether the model architectures themselves must change.

S. Raj, Natansh Mathur, A. Perdomo-Ortiz · 0 citations