Generalization in quantum machine learning from few training data

HIGHLIGHTS

• who: Matthias C. Caro from the (UNIVERSITY) have published the paper: Generalization in quantum machine learning from few training data, in the Journal: (JOURNAL) of 12/04/2022
• what: The authors provide a comprehensive study of generalization performance in QML after training on a limited number N of training data points. The authors show that the generalization error of a quantum machine_learning model with T trainable pffiffiffiffiffiffiffiffiffiffi gates scales at worst as T=N. The authors show that generalization improves if only some parameters have undergone substantial change during the optimization. The authors provide a . . .
  

   

  

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