Announcement
Registrations for both on-site and remote participation are now closed
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.
Nordita QML schedule
The preliminary schedule for the event is ready, and you can find a pdf version below.
Sponsors
We are happy to announce that our programme is supported by IBM. Together with Nordita’s support for scientific programmes, this sponsorship helps us bring leading researchers and practitioners from academia and industry to Stockholm, enabling a high-quality programme of talks and discussions focused on scalable quantum machine learning. We are grateful to the IBM Quantum team for helping make this programme possible.
Themes and activities
This 2-week scientific programme is designed for presenting state-of-the-art protocols, and facilitation discussions on future developments of quantum machine learning.
Week 1: We will start the programme with a series of talks, where invited speakers will share results on both fundamental aspects of QML and its applications. Talks are planned to run during morning sessions, and we will proceed with structured discussions in the afternoon. We will also have a poster session of Feb 3rd.
Week 2 will incorporate several tutorials (together with other invited talks), together with breakout sessions in the form unconference events. Breaking into groups, we will brainstorm pathways for building scalable quantum machine learning models, turning them into practical tools.
There will be a social event planned for each week (see latest schedule as pdf above).
Invited speakers
The list of invited speakers includes:
1. Vedran Dunjko [Univ. Leiden, The Netherlands]
2. Jens Eisert [FU Berlin, Germany]
3. Amira Abbas [Google Quantum AI, US]
4. Suzanne Yelin [Harvard, US]
5. Jarrod McClean [Google Quantum AI, US]
6. Matthias Caro [Univ. Warwick, UK]
7. Christa Zoufal [IBM, Switzerland]
8. Laura Lewis [QSL/Berkeley, UK/US]
9. Joseph Bowles [Xanadu]
10. Zoltan Zimboras [Univ. Helsinki, Finland]
11. Mina Doosti [QSL, Edinburgh Univ, UK]
12. Mikel Sanz [Univ. Basque Country, Spain]
13. Morten Hjorth-Jensen [Univ. Oslo, Norway]
14. Supanut Thanasilp [Chulalongkorn Univ., Thailand]
15. Mats Granath [Univ. Gothenburg, Sweden]
16. Thomas Cope [IQM, Finland]
17. Cristina Cristou [Quantinuum, UK]
18. Cenk Tüysüz [CERN, Switzerland]
19. Annie Paine [Fujitsu, UK]
20. Michele Minervini [Cornell Univ., US]
21. Ahmad Farooq [VTT, Finland]
22. Brian Coyle [Fujitsu & Univ. Edinburgh, UK]
23. Michele Grossi [CERN, Geneve, Switzerland]
24. Stefano Markidis [KTH, Sweden]
25. Zoë Holmes [EPFL, Lausanne, Switzerland]
26. Oleksandr Kyriienko [Univ. Sheffield, 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.
Application/Registration
Registration is now re-opened for online participation. The details for connecting in Zoom will be distributed to registered participants before the event.
