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.

Topics to be discussed at the conference include

  • quantum-enhanced machine learning
  • applications of artificial intelligence in physics research and quantum experiments
  • quantum computational learning theory
  • learning in quantum systems
  • causality and inference in quantum theory
  • cutting-edge classical AI topics

The conference is funded by the SFB Foundations and Applications of Quantum Science.

List of speakers

We are pleased to confirm the following invited speakers. Titles and abstracts of their talks will be included on this page as they become available.

  • Rainer Blatt (IQOQI, University of Innsbruck)
  • Jan Broersen (Utrecht University)
  • Rafael Chaves (International Institute of Physics, UFRN)
  • Giulio Chiribella (University of Oxford)
  • Wolfgang Lechner (University of Innsbruck)
  • Alexey Melnikov (University of Innsbruck)
  • Alejandro Perdomo-Ortiz (Rigetti Computing)
  • Francesco Petruccione (University of KwaZulu-Natal)
  • Justus Piater (University of Innsbruck)
  • Aske Plaat (Leiden University)
  • Patrick Rebentrost (MIT)
  • Renato Renner (ETH Zurich)
  • Matthias Rupp (Fritz-Haber-Institut, Max-Planck-Gesellschaft)
  • Matthias Troyer (ETH Zurich/Microsoft)
  • Ronald de Wolf (QuSoft, CWI, University of Amsterdam)
  • Mário Ziman (Institute of Physics, Slovak Academy of Sciences)

Poster Session

In addition to the above invited speakers, we hope to provide a diverse overview over current developments in all branches of QML by giving participants the opportunity to present their work at a poster session. We aim to make this a dynamic and interactive event by actively encouraging the engagement both of presenters and of attendees viewing the posters. Moreover, the work presented at the poster session will also be featured in a book of abstracts. If you wish to submit your work for consideration in this category, please include a title and abstract in the registration form.

Programme

The conference is centred around a selection of invited talks (see titles and abstracts here), but participants will also have the opportunity to present their own work at a poster session. Activities will run from Monday morning until Friday before lunch. The following is a tentative schedule:

Mon 17 Tue 18 Wed 19 Thu 20 Fri 21
9:00 - 10:15 8:30 Registration 9:30 Introduction Plaat de Wolf Troyer Piater
10:45 - 12:00 Rebentrost Perdomo-Ortiz Ziman Petruccione Broersen
12:00 - 14:00 Lunch Lunch 12:00 Renner 13:15 Lunch Lunch Lunch
14:00 - 15:15 Lechner Melnikov  Free afternoon 15:30 City walk (please sign up)  Chaves
15:15 - 16:30 Rupp Blatt Chiribella
17:00 - 19:00 Poster session Panel discussion 19:00 Conference dinner (AUIS - Museumstr 24) Poster session

Contact

QML+ is organised by Hans Briegel, Vedran Dunjko and Katja Ried. Feel free to get in touch at QMLplus2018@uibk.ac.at.

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