Lecture · Tuesday, November 17, 2026 · 8:00–9:20 AM · 3SC 265
| Previous: Real Hardware and Benchmarking | Course homepage | Next: Variational Quantum Classifiers in PennyLane |
Session overview
- Linear decision boundaries and classifier training
- Variational quantum classifiers and gradient-based optimization
- Quantum feature maps, kernels, and Hilbert spaces
- Expressibility, trainability, and barren plateaus
- What quantum feature spaces can and cannot provide
Course resources
Visit Canvas for assignments and course announcements, or use Piazza to ask questions.