Motivation 

Quantum computers and IT platforms are here to stay. We believe that in ten years from now, they will be widely adopted by many industries, as was the case or transistors and lasers invented during the first quantum revolution.

In the past few years a lot of effort has been dedicated into developing algorithms for noisy near-term quantum (NISQ) processors. These efforts culminated a few years back in the demonstration of quantum supremacy, in which a quantum processor outperformed best classical computers at a non-trivial (but rather useless) task. The demonstration later led to development of an efficient classical method competitive with the performance of the quantum hardware, opening again the race for establishing quantum advantage.

We believe that we are witnessing the beginning of a new approach to Quantum Computing (QC) and Quantum Information Technologies (QIT), different from what was described in the textbooks. QC ideas were blended with the Machine Learning (ML) concepts, gate-based QC protypes are now competing with quantum annealers, and it was realized that that present-day NISQ platforms can modelled and described in a much better way when treated as open quantum systems rather than unitaries. To update young Norwegian researchers on this shift of the QC paradigm is the main idea of the School. Complimentary, the awareness of our young researchers is vitally important to the  development of a new conceptual approach to the applied QC because this development demands doers who will unfold it further.  

   We also consider the topics of the school,

• key concepts of Quantum Information Theory and error correction schemes
• Machine Learning (both quantum and for quantum)
• Quantum Annealing
• quantum software engineering
• usage of QC for chemistry and and other computationally ‘heavy’ research fields

to be  relevant to the future professionals in industry sectors where quantum IT components are expected to play strategic roles (e.g., in public transportation, health sector, and financial analysis) and where the expertise in solving complex  optimization problems  is highly demanded, both in Norway and internationally. The school  will thus also contribute to the student awareness of career opportunities  outside the academia bulb. 

Lecturers

• Giulia Ferrini (Chalmers, Sweden)
• Victoria Goliber (D-Wave)
• Markus Schmitt (Forschungszentrum Jülich, Germany) 
• Shaukat Ali (Simula Lab, Oslo) 
• Alexander Müller – Hermes (University of Oslo, Norway) 
• Rodrigo Martínez Peña (DIPC Institute,  Spain)
• Werner Dobrautz (Chalmers, Sweden) 
• Lars  Nordbryhn (IBM)

Organizers

Sølve Selstø solvese@oslomet.no

Sergiy Denysov sergiyde@oslomet.no

Venue

The school will be held in the SCANDIC Holmenkollen Park Hotel. Meals (breakfast, lunch, and dinner) will be served during the school.

Fees

No fees. Students outside of Oslo can be provided accommodation (please contact the organizers).

Registration

All interested researchers, from all academic career levels (MSc students and up) are welcomed to attend the school. Please contact the organizers in case you are interested.

School Programme