AEP 3100

Introductory Quantum Computing

Course Description

Course information provided by the Courses of Study 2022-2023.

An introduction to quantum computing for students who have not necessarily had prior exposure to quantum mechanics. This course is intended for physicists, electrical engineers, and computer scientists. Topics include: foundational algorithmic building blocks and quantum algorithms; variational quantum algorithms (for physics simulation and for combinatorial optimization); quantum machine learning; basic physics of quantum computing hardware implementation. There will be substantial programming exercises implementing quantum algorithms to run on simulators and quantum computers in the cloud.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: MATH 2940 or equivalent, and CS 1110 or equivalent exposure to Python.

• Students will be able to understand and have the knowledge to implement core quantum algorithms.
• Students will be able to apply some of the quantum algorithms studied to new application problems.
• Students will be able to explain key challenges in constructing quantum computers and in running quantum algorithms on current quantum computers.

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