Quantum Information Technologies
INFSCI 3350, SEC 1210, Fall 2022
Quantum Information Technologies
INFSCI 3350, SEC 1210, Fall 2022
Learning Objectives
The aim of this course is to provide a sampling menu of the different novel up-and-coming quantum information technologies that are expected to power a multi-billion-dollar industry in the foreseeable future. Following a brief introduction to quantum information, the class will undertake reading assignments on the conceptual underpinnings of these technologies and the latest trends. Readings will cover different models of quantum computing and use cases, including those of hybrid quantum-classical models used for quantum machine learning, different aspects of a functionally allocated quantum network stack for the quantum internet, distributed quantum sensing and quantum cryptography protocols. Students will have the opportunity to program and test simple quantum circuits in IBM’s Qiskit SDK during the course. The course project will consist of submitting a writeup/report and presenting a research paper on any chosen technology or application.
Dr. Kaushik P. Seshadreesan, Dept. of Informatics & Networked Systems, School of Computing & Information, University of Pittsburgh.