Teaching Quantum Computing through a Practical Software-driven Approach: Experience Report

TL;DR

This paper reports on an undergraduate course in quantum computing that emphasizes hands-on programming and self-paced exercises, demonstrating effective teaching practices and student engagement in quantum programming education.

Contribution

It introduces a practical, software-driven teaching approach for quantum computing courses, focusing on programming exercises and projects to enhance learning for non-specialists.

Findings

Programming exercises helped students internalize quantum theory

Students found the final project most beneficial for learning

The course design improved student engagement and understanding

Abstract

Quantum computing harnesses quantum laws of nature to enable new types of algorithms, not efficiently possible on traditional computers, that may lead to breakthroughs in crucial areas like materials science and chemistry. There is rapidly growing demand for a quantum workforce educated in the basics of quantum computing, in particular in quantum programming. However, there are few offerings for non-specialists and little information on best practices for training computer science and engineering students. In this report we describe our experience teaching an undergraduate course on quantum computing using a practical, software-driven approach. We centered our course around teaching quantum algorithms through hands-on programming, reducing the significance of traditional written assignments and relying instead on self-paced programming exercises ("Quantum Katas"), a variety of programming assignments, and a final project. We observed that the programming sections of the course helped students internalize theoretical material presented during the lectures. In the survey results, students indicated that the programming exercises and the final project contributed the most to their learning process. We describe the motivation for centering the course around quantum programming, discuss major artifacts used in this course, and present our lessons learned and best practices for a future improved course offering. We hope that our experience will help guide instructors who want to adopt a practical approach to teaching quantum computing and will enable more undergraduate programs to offer quantum programming as an elective.