Learning Objectives

The aim of this course is to provide a comprehensive overview of the novel and up-and-coming quantum information technologies, associated with machine learning and cryptography, that are expected to power a multi-billion-dollar industry in the foreseeable future. This course will emphasize the following key topics:

1. Quantum optimization and QAOA.

2. Post-quantum cryptography. 

3. Quantum repeaters and quantum networks.

4. Variational quantum algorithms and quantum machine learning.

5. Quantum error correction and fault-tolerance.

6. First-principle theory of deep learning and scaling laws.

The course project will consist of submitting a research proposal and presenting the corresponding research idea on any chosen technology or application.

Dr. Junyu Liu, Department of Computer Science, School of Computing & Information, University of Pittsburgh.

junyuliu@pitt.edu