Qiskit Seminar Series talk given by Jens Eisert: A single T-gate makes quantum distribution learning hard There has been substantial excitement recently in identifying tasks for which quantum devices could possibly outperform classical devices. This work will provide a roadmap of what next steps are to be taken for work in quantum machine learning, and will flesh out the potential and limitations of quantum probabilistic modelling.