| Call Number | 15289 |
|---|---|
| Day & Time Location |
F 1:10pm-3:40pm 233 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Xiaodong Wang |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | An introduction to the recent development in quantum optimization and quantum machine learning using gate-based Noisy Intermediate Scale Quantum (NISQ) computers. IBM’s quantum programming framework Qiskit is utilized. Qbits, quantum gates and quantum measurements, quantum algorithms (Grover’s search, Simon’s algorithm, quantum Fourier transform, quantum phase estimation) quantum optimization (quantum annealing, QAOA, variational quantum eigensolver), quantum machine learning (quantum support vector machine, quantum neural networks). |
| Web Site | Vergil |
| Department | Electrical Engineering |
| Enrollment | 21 students (40 max) as of 10:06AM Thursday, November 21, 2024 |
| Subject | Electrical Engineering |
| Number | E4730 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies |
| Section key | 20241ELEN4730E001 |