AEP 3100

AEP 3100

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: AEP 5310

  • 3 Credits Stdnt Opt

  • 17100 AEP 3100   LEC 001

  • Instruction Mode: In Person