Name: Quantum Machine Learning: Neural Networks and Kernel Methods
Start: 2025-11-09T10:30:00-05:00
End: 2025-11-09T11:30:00-05:00

This 1-hour session introduces the key concepts of Quantum Machine Learning; the fundamentals of quantum mechanics, the creation of quantum ML models, the curation of classical data (i.e. hyperspectral images, phylogenetic trees, etc...) into quantum states, and the current limitations of quantum computing. This session will introduce a brief theoretical background into quantum computing (i.e. superposition, entanglement, teleportation), however, some knowledge of machine learning is assumed.

Agenda

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Speaker

Ryan Godin - University of Sherbrooke (MSc)

Quantum machine learning and algorithm research;
- Hyperspectral image and data classification- Phylogenetic tree analysis and constructionMSc, Quantum Computing @ Université de Sherbrooke (2027)HBSc, Astrophysics @ University of Waterloo (2025)In collaboration with Agriculture and Agri-Foods Canada (AAFC/AAC)

Hosted By

Nadia Tahiri, PhD, Organizer

Dr. Nadia Tahiri received the M.Sc. and Ph.D. degrees in Computer Science from the University of Quebec in Montreal, Canada. She was a Postdoctoral Researcher working on QSAR/PBPK model prediction in environmental health sciences at the University of Montreal, Canada. She has received several awards and scholarships, author of scientific works that have been published in prestigious journals, conferences, and book chapters. She is currently an assistant professor in the Department of Computer Science at the University of Sherbrooke. Her research interests include bioinformatics, phylogenetic tree, phylogeography, clustering, classification, computational biology, supertree, and consensus tree. Nadia is also very involved in community initiatives that promote women in technology and make committee programs more inclusive (the right measures for equity, diversity, and inclusion) as a committee scientific, an active member of ACM Canadian Celebration of Women in Computing, an ambassador of Women Techmakers, and an organizer of GDG Montreal (collaboration)/GDG Cloud Sherbrooke (lead).

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Partners

University of Sherbrooke (https://www.usherbrooke.ca/)

Institut Quantique (https://www.usherbrooke.ca/iq/)
Institut Quantique de l'Université de Sherbrooke

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Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-cloud-sherbrooke-presents-quantum-machine-learning-neural-networks-and-kernel-methods/.

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Quantum Machine Learning: Neural Networks and Kernel Methods

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Quantum Machine Learning: Neural Networks and Kernel Methods

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