Reevu Maity

Learning Unitaries by Gradient Descent

2020 · arXiv (Cornell University)

We study the hardness of learning unitary transformations in $U(d)$ via gradient descent on time parameters of alternating operator sequences. We provide numerical evidence that, despite the non-convex nature of the loss landscape, gradient descent …