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 […]

Title: Reservoir computing with complex quantum systems Abstract: Non-conventional computing inspired by the brain, or neuromorphic computing, is a successful approach in a broad spectrum of applications, and in the last few years proposals of Quantum Reservoir Computing have been explored. Quantum physical reservoirs have the potential to boost the processing performance in temporal tasks […]

Title: Classical shadows in theory, numerics and experiment Abstract: Classical shadows are a scalable way to extract meaningful information from a n-qubit system in a scalable and online fashion. Crucially, this method has the potential to overcome bottlenecks that plague more traditional general-purpose readout protocols. We will review the overall idea and then present numerical […]