Progressing the collaboration for Quantum Computing algorithms for HEP and GW use cases - follow-up to the Joint QuSoft Nikhef QC-for-HEP-GW workshop.
Keywords: interactive format - use case descriptions - joint whiteboard sessions - discussion - first practical results - challenges and possibilities!
The meeting is in the "Transform" room of Seats2Meet - ask for the "QuSoft - Nikhef joint quantum computing workshop".
The Seats2Meet entrance is shared with the SURF Utrecht offices, so use the same door to Hoog Overborch, next to the exit of the Albert Heijn. To get to Seats2Meet Utrecht CS: https://meet.s2mutrechtcs.com/route/
Limited remote listening during the plenaries is possible.
Quantum Machine Learning for b-jet charge identification. J. High Energ. Phys. 2022, 14 (2022). https://doi.org/10.1007/JHEP08(2022)014
based on Ising Models for LHCb and GW
All participants are kindly requested to send in their questions, challenges, and discussion points to us. We will sort and group these collaboratively, organisations ~3 smaller teams, and drill down into the details of these questions in a dynamic, 'open space' like, format.
assign reporter
explain/pitch briefly the question
discussions!
What could work? What is unlikely to work? Why?
assign reporter
explain/pitch briefly the question
discussions!
What could work? What is unlikely to work? Why?
assign reporter
explain/pitch briefly the question
discussions!
What could work? What is unlikely to work? Why?