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Understanding quantum machine learning also requires rethinking generalization

Computer Science

Understanding quantum machine learning also requires rethinking generalization

E. Gil-fuster, J. Eisert, et al.

Discover groundbreaking insights from Elies Gil-Fuster, Jens Eisert, and Carlos Bravo-Prieto as they explore the unexpected generalization capabilities of quantum machine learning models. Their systematic experiments challenge traditional understanding and reveal new dimensions of memorization in quantum neural networks.

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