Are quantum neural networks actually relevant?

Presented by Amira Abbas, University of KwaZulu-Natal
(note special time)

Classical neural networks have proven to be extremely powerful models that learn from data. Proposing a quantum variation of these already-so-successful models requires good reason. As such, researchers have been investigating whether quantum computation can, in any way, aid classical neural networks through higher expressivity or faster trainability. In this talk, we will discuss how to quantify these properties and demonstrate that quantum neural networks can show potential on these fronts, but many open questions remain.