Applied Quantum Machine Learning

Catalog description

This course introduces the foundations of quantum computing and its application in machine learning. Students will explore quantum bits, circuits, and algorithms like Variational Quantum Circuits and Quantum Neural Networks. The course emphasizes practical skills through a hands-on project using quantum simulators. Prerequisites: MAT 160 or MAT 260.