QBN Meeting on Quantum Computing Software & Algorithms – Looking Beyond User Access & Simulators

QBN Meeting on Quantum Computing Software & Algorithms - Looking Beyond User Access & Simulators

Date
25.11.2022
9:30 - 17:00

Venue
IQM
Espoo, Finland

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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
 
 

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