FCAI-SIG: AI and Quantum Computing

Date and time: 24.10.2024 at 9.00-13.00

Place: Dipoli (Klondyke)+Zoom

Register for the event by October 13th using this link.

Welcome to the founding event of the FCAI-SIG on Quantum Machine Learning. Quantum computers are anticipated to revolutionize computational tasks by surpassing classical computers in terms of speed and efficiency. The field of quantum machine learning explores how to devise and implement quantum software that could enable machine learning that is faster than that of classical computers. The goal of the SIG is to provide a platform for its members to collaborate with the Finnish Quantum Flagship program and InstituteQ. Through this SIG we plan to organize seminars and share information with members to overcome the limitations and challenges in quantum computing algorithms and software.

Schedule:

9:00-9:20 Coffee 

9.20-9.40         Simo Särkkä & Ahmad Farooq: Introduction 

9.40-10.00       Kirsi Tappura: Device design for quantum applications

10.00-10.20     Jukka K. Nurminen: Quantum stack for machine learning 

10.20–10.40    Joonas Hämäläinen: Exploring Multi-Label Learning as a Venue for Quantum Machine Learning

10.40–11.00    Alexandru Paler: Scaling quantum software using AI

11.00–11.20    Olli Nurmi: Benchmarking QML – datasets vs. problem Hamiltonian

11.20-11.40     Arif Ali Khan: Hybrid Framework for Seamless Transition between Classical and Quantum Programming

11.40-12.00     Bo Zhao: Scalable Reinforcement Learning Systems for Quantum Computing

12.00-12.20     Mikael Johansson:  The Finnish Quantum-Computing Infrastructure FiQCI

12.20-12.40    Ahmad Farooq:  Quantum machine learning applications with fault tolerant and NISQ devices.

12.40-13.00    Coffee and discussion

Event Organizers: Ahmad Farooq, Simo Särkkä and Katri Karhunen