Scope
Quantum systems are inherently prone to noise and decoherence causing information loss. Given the enormous effort devoted to quantum technology and quantum computation, quantum control — i.e. how to preserve and manipulate quantum states — is a topic of great current interest and potential impact. Researchers have recently started to tap into the vast potential of machine learning (ML) to address many areas in physics, including quantum control and quantum error correction. The aim of the workshop is to build on and consolidate recent advances in using state-of-the-art ML techniques for the purpose of quantum control, quantum error correction, and methodologically related areas in condensed matter physics and beyond. The workshop will also address topics in quantum machine learning, such as quantum embeddings, quantum kernel methods and parametrised quantum circuits. It will bring together experts and pioneers in this rapidly developing field to further collaborations and raise the bar on machine learning applications for quantum physics. A special focus will be to engage researchers working on non-ML-related aspects of quantum computing and quantum technology in the Nordic region and beyond, to encourage cross-fertilization between the communities.
Program
See Timetable
Invited speakers
Confirmed speakers:
| Isaac Tamblyn | University of Ottawa and University of Waterloo |
| Zohar Ringel | Hebrew University of Jerusalem |
| Jacob Biamonte | Skolkovo Institute of Science and Technology |
| Anasua Chatterjee | Center for Quantum Devices at Copenhagen University |
| Juan Carrasquilla | Vector Institute for Artificial Intelligence |
| Bernd Rosenow | University of Leipzig |
| Shai Machnes | Forschungscentrum Jülich |
| Devdatt Dubhashi | Chalmers University of Technology |
| Marin Bukov | Sofia University |
| Yi-Zhuang You | UC San Diego |
| Giulia Ferrini | Chalmers University of Technology |
| Göran Johansson | Chalmers University of Technology |
| Mikko Möttönen | Aalto University |
| André Carvalho | Q-CTRL |
| Yihui Quek | Freie Universität Berlin |
Abstract submission
The deadline for abstract submission is July 1st. Submissions received after this deadline will only be considered if space allows. Acceptance or rejection messages will follow the week after. We have a maximum of 60 participants in total.
Registration
Registration has now opened and the deadline is July 1st, 2022. Due to space limitations, there will be a selection process and all accepted participants will receive a letter of acceptance by the organizing committee by July 8th, at the latest.
You are welcome to register without submitting an abstract.
The workshop will be on-site, no remote attendance.
Accommodation
The location of the workshop is the "Albano Building 3" on Albanovägen 29. Three nearby hotel suggestions are Biz Apartment Gärdet, the Elite Hotel Arcadia, and Best Western Plus Time Hotel, though you are of course entirely free to choose others. If you choose Biz Apartment Gärdet, please reference Nordita and the title of this event in your request to the hotel in order to receive a reduced rate.
There is a limited number of rooms reserved at Biz Apartment Gärdet, primarily for invited speakers. Except for invited speakers you are responsible for booking your own accommodation.
Travel support
Travel support is unfortunately not available.
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