Engineering Physics - Intro Quantum Algorithms

Catalog description

This course provides an overview of various quantum algorithms and quantum machine learning. Topics include quantum circuits, quantum algorithms for algebraic problems, quantum random walk, quantum algorithms for simulating quantum mechanics, quantum machine learning, limitations on the power of quantum computers, and selected recent developments in quantum algorithms. (Same as PHSX 614.) Prerequisite: PHSX 313 (PHSX 611 preferred); MATH 290, MATH 291 or equivalent (MATH 590 preferred); PHSX/ASTR 315 or approval of instructor.