Training robust and generalizable quantum models

1 code implementation • 20 Nov 2023 • Julian Berberich, Daniel Fink, Daniel Pranjić, Christian Tutschku, Christian Holm

We derive parameter-dependent Lipschitz bounds for quantum models with trainable encoding, showing that the norm of the data encoding has a crucial impact on the robustness against data perturbations.

Adversarial Robustness Quantum Machine Learning