Design of Quantum Machine Learning Course for a Computer Science Program

Authors

Sathish Kumar, Cleveland State UniversityFollow
Temitope Adeniyi, Cleveland State University
Ahmad Alomari, Cleveland State University
Santanu Ganguly, Photonics, Inc.

Document Type

Conference Proceeding

Publication Date

10-2023

Publication Title

2023 IEEE INTERNATIONAL CONFERENCE ON QUANTUM COMPUTING AND ENGINEERING, QCE

Abstract

In this work, we present the design and plan of Quantum machine learning (QML) course in a computer science (CS) University program at senior undergraduate level / first year graduate level. Based on our survey, there is a lack of detailed design and assessment plan for the delivery of QML course. In this paper we have presented the QML course design with week by week details of QML concepts and hands on activities that are covered in the course. We also present how this QML course can be assessed from CS program learning outcomes perspective.

Comments

Presented at: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) in Bellvue, WA. Sept.17-22, 2023

This work was supported by National Science Foundation Grant No. OMA 2231377

DOI

10.1109/QCE57702.2023.20326

Recommended Citation

Kumar, Sathish; Adeniyi, Temitope; Alomari, Ahmad; and Ganguly, Santanu, "Design of Quantum Machine Learning Course for a Computer Science Program" (2023). Computer Science Faculty Publications. 2.
https://engagedscholarship.csuohio.edu/encs_facpub/2