Quantum Machine Learning (QML) is a discipline seeking to take advantage of quantum mechanical processes to induce or enhance machine learning. It combines in novel ways the concepts and algorithms adopted from Quantum Computing and Machine Learning, and is underpinned by the Quantum Mechanics theory and formalism.
This workshop provides an introduction to Quantum Machine Learning using PennyLane and PyTorch, with hands-on exercises and take-home challenges. The workshop includes four practical sessions that cover the QML concepts, models, and techniques. The sessions explore the development of quantum estimators and classifiers, their training with various optimisers, loss and cost functions, as well as model testing and scoring using variety of metrics. It finally, explains how to create hybrid quantum-classical QML models.
Key information
- Workshop dates: 12-13.04.2025 (2 days)
- Organizers: QPoland & Fundacja Quantum AI
- Duration of classes each day: from 10:30 AM to 2:00 PM (UTC+2)
- Online meeting platform: Zoom
- Communication platform: Discord
- Instructors: Jacob Cybulski, Tomasz Rybotycki, Sebastian Zając
Who can attend? The event is only for people who are above 18 years old. It is also mandatory to register and be invited. We also highly recommend checking the "Prerequisite Knowledge: section.
Registration form (will be open until 11.04.2025, EoD UTC+2): https://forms.gle/PxNqWuzuw3Qy5t9q6
Certification: You can get a certificate if you take an online quiz based on the work covered by the workshop activities and complete it successfully within 1 week of the event.
