17-620 — Quantum Machine Learning — Fall Semester 2023

Schedule

You can download all required reading in the Study materials at the faculty website.

1. Introduction (October 23)
2. The Landscape of Machine Learning (October 25)
3. Building Neural Networks (October 30)
4. Classification (November 01)
5. Pennylane (November 6)
6. Quantum Support Vector Machines (October 8)
7. Quantum Neural Networks (November 13)
8. Guest Lecture (October 15)
9. Generative Adverserial Networks (November 20)
10. Thanksgiving! (November 22)
11. Quantum Generative Adverserial Networks (November 27)
12. K-Means (November 29)
13. Q-Means (December 04)
14. Quantum Decoders (December 06)