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Main Author: Sousa, Leonel
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2309.09093
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author Sousa, Leonel
author_facet Sousa, Leonel
contents Quantum computing is a rapidly evolving field encompassing various disciplines such as physics, mathematics, computer engineering, and computer science. Teaching quantum computing in a concise and effective manner can be challenging, especially within the time constraints of a single course or a short period, even for graduate students. This challenge is particularly relevant in two-year MSc programs that include a thesis, which is a typical structure in higher education systems in the USA and Europe. In this paper, the author proposes an approach to teaching quantum computing and shares their experience of conducting a course chapter on the subject within a two-week time frame. The experience reported in this paper is integrated into the "Technologies of Computing Systems" (TCS) course, with a total workload of 6 ECTS (in the context of the European Credit Transfer and Accumulation System, one ECTS corresponds to 28 hours of work), conducted in one quarter, over seven weeks. The structure of the course chapter is discussed, involving a series of lectures that were accompanied by lab classes and a lab project, allowing students to receive guidance while also engaging in hands-on learning and independent study. The paper provides an overview of the quantum computing topics covered, and their integration in the TSC course, and gives details about how these topics are studied in the different types of classes. It also discusses the evaluation procedure and presents the results obtained. It can be concluded that the inclusion of the quantum computing component not only significantly increased student interest in the course but also effectively bridged the gap between classical and quantum computing for engineering students within a short period of two weeks.
format Preprint
id arxiv_https___arxiv_org_abs_2309_09093
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A Course chapter on Quantum Computing for Master Students in Engineering
Sousa, Leonel
Physics Education
Emerging Technologies
C.3
Quantum computing is a rapidly evolving field encompassing various disciplines such as physics, mathematics, computer engineering, and computer science. Teaching quantum computing in a concise and effective manner can be challenging, especially within the time constraints of a single course or a short period, even for graduate students. This challenge is particularly relevant in two-year MSc programs that include a thesis, which is a typical structure in higher education systems in the USA and Europe. In this paper, the author proposes an approach to teaching quantum computing and shares their experience of conducting a course chapter on the subject within a two-week time frame. The experience reported in this paper is integrated into the "Technologies of Computing Systems" (TCS) course, with a total workload of 6 ECTS (in the context of the European Credit Transfer and Accumulation System, one ECTS corresponds to 28 hours of work), conducted in one quarter, over seven weeks. The structure of the course chapter is discussed, involving a series of lectures that were accompanied by lab classes and a lab project, allowing students to receive guidance while also engaging in hands-on learning and independent study. The paper provides an overview of the quantum computing topics covered, and their integration in the TSC course, and gives details about how these topics are studied in the different types of classes. It also discusses the evaluation procedure and presents the results obtained. It can be concluded that the inclusion of the quantum computing component not only significantly increased student interest in the course but also effectively bridged the gap between classical and quantum computing for engineering students within a short period of two weeks.
title A Course chapter on Quantum Computing for Master Students in Engineering
topic Physics Education
Emerging Technologies
C.3
url https://arxiv.org/abs/2309.09093