Day 5 - Friday, November 7th

Learning Track: Quantum machine learning and introduction to quantum reservoir computing

Quantum neural networks (lecture)

Speaker: Stefano Markidis (KTH, SE)
Time: 9:00-10:00

Theoretical foundations of Quantum Neural Networks (QNNs) and quantum machine learning. This lecture covers the principles of quantum-enhanced machine learning and quantum neural network.

Hands-on QNNs using pennylane for classification (tutorial)

Speaker: Stefano Markidis (KTH, SE)
Time: 10:00-10:40

Practical tutorial on implementing Quantum Neural Networks using PennyLane for classification tasks.

Coffee break

Time: 10:40-11:00

Quantum reservoir computing

Speaker: Ruben Pariente Bassa (SINTEF, NO)
Time: 11:00-12:00 introduction to Quantum reservoir computing.

Lunch

Time: 12:00-13:00

Closing and see you next year (hopefully!)

Time: 13:00-14:00

Wrap-up session summarizing key learnings from the five-day intensive program. Participants will have the opportunity to share insights, discuss future applications of quantum computing in their work, and network with instructors and fellow participants.

Sessions are designed to accommodate multiple learning levels, from beginners to advanced practitioners.