17-659 — Generative AI for Quantum Computing and Machine Learning Software Implementations — Summer Semester 2023

Schedule

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

1. Introduction (May 16)
2. Understanding the fundamentals of qubits, superposition, and entanglement. (May 18)
3. Introduction to AI, ML and DL (May 23)
4. Fundamentals of Generative Models (May 25)
5. Fundamentals of LLMs (May 30)
6. Software Implementation of Generative AIs (June 1)
7. LLM Implementations (June 6)
8. Quantum Programming Languages (June 8)
9. Langchain (June 15)
10. Quantum Generative Models (June 13)
11. LLM Data Preparation and Finetuning (June 20)
12. LLMs in Machine Learning and Quantum Computing (June 22)
13. OPEN - Guest Lecture (June 27)