Venue
Nordita, Stockholm, Sweden
Scope
The program will bring together leaders in quantum machine learning – a rapidly evolving area of research focused on developing next-generation artificial intelligence capabilities. Classical machine learning has grown from the area of fundamental research into practical software solutions revolutionizing our lives. This is achieved by long-term developments in model designs, training workflows, and toolboxes that enable scalable training and excellent generalization. Yet, ML has inherent limitations for growth posed by scaling of classical computing. Quantum machine learning (QML) aims to use the power of quantum computing for solving AI problems differently.
QML has now reached the tipping point. Various models and paradigms are being proposed, but we are yet to discover most performing approaches and scalable practices for the future use on large-size quantum computers. In this programme our aim is to gather experts in QML theory and practical implementations, coming from both academia and industry, and map pathways for building scalable QML models. Through these discussions, we aim to identify promising areas where quantum machine learning can offer advantages over alternative solutions.
Themes and preliminary program schedule
This 2-week scientific programme aims to gather experts in quantum machine learning for presenting state-of-the-art in the field and discussing future developments.
Week 1: We will start the programme with a focused event in the format of mini-conference with a series of talks, where invited speakers will share results on both fundamental aspects of QML and its applications. Up to 6 talks a day are planned, as well as a roundtable discussion, a panel session, and 2 social events.
Week 2: We will continue in-depth discussions, also offering keynotes and interactive sessions in the form of the two unconference events. Breaking into groups, we will brainstorm pathways for building scalable quantum machine learning models, turning them into practical tools (summarised after the programme into a colleactive document).
Invited speakers
The list of contacted speakers includes (to be confirmed):
1. Vedran Dunjko [Univ. Leiden, The Netherlands]
2. Jens Eisert [FU Berlin, Germany]
3. Marco Cerezo [Los Alamos National Lab, US]
4. Suzanne Yelin [Harvard, US]
5. Maria Schuld [Xanadu, South Africa/Canada]
6. Matthias Caro [Univ. Warwick, UK]
7. Christa Zoufal [IBM, Switzerland]
8. Laura Lewis [QSL/Berkeley, UK/US]
9. Keisuke Fujii [Osaka Univ., Japan]
10. Sabrina Maniscalco [Algorithmiq, Finland]
11. Michael Kastoryano [IT Univ. Copenhagen, Denmark]
12. Patrick Rebentrost [NUS, Singapore]
13. Jarrod McClean [Google Quantum AI, US]
14. Joseph Bowles [Xanadu]
15. Mats Granath [Univ. Gothenburg, Sweden]
16. Yihui Quek [Harvard, US; she/her]
17. Laura Mančinska [Univ. Copenhagen, Denmark]
18. Sofia Vallecorsa [CERN, Switzerland]
19. Hermanni Heimonen [IQM, Finland]
20. Mikel Sanz [Univ. Basque Country, Spain]
21. Ahmad Farooq [Aalto Univ., Finland]
22. Brian Coyle [QCWare, UK/US]
23. Annie Paine [Pasqal, France]
24. Morten Hjorth-Jensen [Univ. Oslo, Norway]
25. Mina Doosti [QSL, Edinburgh Univ, UK]
26. Cristina Cristou [Quantinuum, UK]
Accommodation
Nordita provides a limited number of rooms in the Stockholm apartment hotel BizApartments free of charge for accepted participants and after application evaluation. Exact number of available rooms depends on the number of participants, please contact the organisers in advance.
Travel support
At this point we cannot offer a travel support. However, limited travel support is available for reimbursement. If you require support, please indicate in the comments field an estimate of your expected travel expenses, and how much of the expenses you are able to cover from other sources.
Application/Registration
Registration to be considered for on-site participation will close TBD. Registrants will receive an on-site/remote participation confirmation from the organizers after this date.
Sponsored by:
