Relevant references are:
- Reinforcement Learning for Quantum Technology, by Marin Bukov and Florian Marquardt, arXiv:2601.18953.
- Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology, by Federico Belliardo, Fabio Zoratti, Florian Marquardt, and Vittorio Giovannetti, Quantum 8, 1555 (2024).
About the qGAP seminar series
We aim to have a biweekly research seminar, with various people presenting research results, or discussing papers in a journal club style.
Every other week, however, we will have Francesco Massel from USN leading a discussion-style journal club on theoretical quantum sensing.
You can find the approximate schedule for what will be discussed in the various weeks here: Lecture plan Sensing theory.xlsx
Ideally, everyone would have read the weekly reading before coming to the seminar, as they will be structured as a discussion rather than a lecture. We particularly encourage Master's students to come.
The seminars are at 14.15 in the CCSE seminar room (4th floor Physics building, East Wing), as per usual
If you have something you would like to present (whether own research or a journal-club style talk), please do not hesitate to get in touch!
A Zoom link for the seminar is available from:
Contact: Gunnar Lange - Postdoctoral Fellow, University of Oslo