Title: Towards quantum advantage on the cloud: benchmarking a 20 qubit quantum computer Abstract: Quantum computing is a field with incredible potential to solve fundamental limitations of classical computing, as well as provide a way for scientists to simulate complex quantum systems. Current technological implementations require further improvements in quality and scalability in order for […]

Title: Quantum Convolutional Neural Networks are (Effectively) Classically Simulable Abstract: Quantum Convolutional Neural Networks (QCNNs) are widely regarded as a promising model for Quantum Machine Learning (QML). In this work we tie their heuristic success to two facts. First, that when randomly initialized, they can only operate on the information encoded in low-bodyness measurements of […]