Quantum Computing
How quantum computing intersects with machine learning, and where quantum methods may offer real advantages.
A student research club at the University of Toronto
We study machine learning and quantum computing the way a lab does: reading groups, real projects, and results we publish.
About
We give undergraduates the structured research experience usually reserved for graduate students.
Understanding over intuition. Proof over conjecture.
Reading groups that track the fastest-moving areas of the field.
Senior members mentor juniors across programs and years.
Research
Quantum computing and machine learning, held together by a shared standard for careful work.
How quantum computing intersects with machine learning, and where quantum methods may offer real advantages.
The mathematical foundations of modern ML: how models learn, why they generalize, and what their limits are.
Whole-brain fly simulations are checked against behaviour, never against the activity inside a real brain. We are building that check.
Read the project outlineCan a large model's half-finished reasoning be handed to a smaller one? We measure where that works and what it saves.
Join
Any program, any year, no GPA cutoff. We look for curiosity and follow-through.
About 15 minutes.
20 minutes with a research lead.
Within two weeks.
Matched to a stream and a mentor.