Title: But why would we use quantum computers after all? Approaching Quantum Machine Learning a little differently Abstract: The last years of research in quantum machine learning have taught us a lot. There are problems where quantum computers have a provable advantage for learning (just apply Shor somewhere!). Training variational "quantum neural networks" is a […]

Speaker: Marco Cerezo Title: Is Quantum Machine Learning an ill-defined framework? Abstract: In this talk we will discuss some our recent results regarding the trainability and classical simulability of Quantum Machine Learning (QML). Despite the initial hype, it has been shown that many QML models can exhibit critical issues such as barren plateaus, and exceeding […]