Spring 2026 Electrical Engineering E4730 section V01

Quantum Optimization and Machine Learnin

QUANTUM OPT & ML

Call Number 17541
Points 3
Grading Mode Standard
Approvals Required None
Instructor Xiaodong Wang
Type LECTURE
Method of Instruction On-Line Only
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 Video Network
Enrollment 0 students (99 max) as of 11:12PM Thursday, November 27, 2025
Subject Electrical Engineering
Number E4730
Section V01
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Fee $395 CVN Course Fee
Note VIDEO NETWORK STUDENTS ONLY
Section key 20261ELEN4730EV01