Regularization of Riemannian optimization: Application to process tomography and quantum machine learning

Felix Soest, Konstantin Beyer, Walter T. Strunz

Gradient descent algorithms on Riemannian manifolds have been used recently for the optimization of quantum channels. In this contribution, we investigate the influence of various…