Quantum machine learning arises from the interplay of two fields of research, each one challenging in its own right: on the one hand, classical machine learning and artificial intelligence; on the other, quantum physics, with its growing list of fundamental insights and technological applications. This combination gives rise to fascinating possibilities and diverse lines of scientific inquiry. Practical questions like "How can quantum information processing improve classical machine learning?" and "How can machine learning help us harness quantum systems?" are already being pursued in extensive research programmes. Beyond that, the contact between foundational physics and artificial intelligence also raises more fundamental questions, such as "What are the limits – and even the meaning – of learnability in a quantum world?" and "How can artificial intelligence assist in scientific research, and what role might it soon play in our everyday lives?"
QML+ will provide a forum for leading researchers in both classical and quantum domains to discuss such applied and fundamental questions, bringing together various perspectives in order to establish connections and identify the most promising directions for future developments of this emerging area of research.
The conference wil run from the 17th to the 21st of September 2018.
