Design of Quantum Machine Learning Course for a Computer Science Program

被引：0
|
作者：
Kumar, Sathish [1 ]
Adeniyi, Temitope [1 ]
Alomari, Ahmad [1 ]
Ganguly, Santanu [2 ]
机构：
[1] Cleveland State Univ, Cleveland, OH 44115 USA
[2] Photon Inc, London, England
来源：
2023 IEEE INTERNATIONAL CONFERENCE ON QUANTUM COMPUTING AND ENGINEERING, QCE | 2023年
基金：
美国国家科学基金会;
关键词：
Quantum machine learning; Quantum computing; Course Assessment; Course Design; QML Workflow; OPPORTUNITIES; CHALLENGES;
D O I：
10.1109/QCE57702.2023.20326
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：68 / 77
页数：10
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