Datum
25.11.2022
9:30 - 17:00
Ort
IQM
Espoo, Finnland
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Quantum computing real-life applications range from enabling the power of machine learning and solving hardest optimization problems to powerful multiphysical simulations. Providing industry end-users, especially small and medium-sized companies with access is essential to unleash the potential. Let’s look beyond user access and simulators and explore our future world powered by quantum computing.
Don’t miss this unique opportunity to visit IQM’s lab, meet the quantum experts from industry and academia and boost your personal and professional network. For attending the lab visit signing a visitor NDA is required.
Also check out the QBN Meeting on Accelerators for HPC Centers the day before in Espoo, Finland. Join the informal evening dinner on the 24 November. Dinner is on us sponsored by IQM. Stay tuned for the speaker announcements.
Here you can find some hotel recommendations.
Speakers
Valtteri Lahtinen
CSO
Quanscient
Tommi Mikkonen
Professor
University of Jyväskylä
Vincent van Wingerden
Business Development Manager Europe
Classiq
Raghunath Koduvayur
Head of Marketing and Communications
IQM
Alona Sakhnenko
Scientist
Fraunhofer IKS
Ljubomir Budinski
Quantum Algorithm Researcher at Quanscient and Professor at the University of Novi Sad
Ville Kotovirta
Team leader
VTT
Marco Maronese
CTO
Qbrain
Agenda
| Opening |
| Welcoming words Johannes Verst, QBN |
| Quanscient overview Valtteri Lahtinen, Quanscient |
| Quantum computing through software engineering lenses Tommi Mikkonen, University of Jyväskylä |
| Making quantum software development accessible using the Classiq platform Vincent van Wingerden, Classiq |
| Networking |
| IQM’s quantum computing strategy Raghunath Koduvayur, IQM |
| Lab visit & networking |
| Machine learning and simulation on NISQ devices Alona Sakhnenko, Fraunhofer IKS |
| Future of multiphysics: Quantum lattice Boltzmann method Ljubomir Budinski, Quanscient and the University of Novi Sad |
| tba Ville Kotovirta, VTT |
| Unleashing the power of quantum hardware by deep learning-based software Marco Maronese, Qbrain |
Buchungen
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