Innovative Approaches to Teaching Quantum Computer Programming and Quantum Software Engineering
Majid Haghparast, Enrique Moguel, Jose Garcia-Alonso, Tommi Mikkonen, Juan Manuel Murillo
TL;DR
The paper addresses the challenge of effectively teaching quantum computer programming and software engineering at graduate level. It proposes a six-step pedagogy built around three core SDKs—Qiskit, PennyLane, and Ocean SDK—and supported by Docker containerization to create consistent lab environments. The authors draw on cross-country experience (Finland and Spain) to present a structured curriculum with practical labs on real hardware (IBM QPU, HELMI, D-Wave QPUs) and cloud-based workflows. The work offers a scalable, cross-platform teaching blueprint with potential for broad adoption and ongoing evaluation.
Abstract
Quantum computing is an emerging field that promises to revolutionize various domains, such as simulation optimization, data processing, and more, by leveraging the principles of quantum mechanics. This paper outlines innovative pedagogical strategies developed by university lecturers in Finland and Spain for teaching quantum computer programming and quantum software engineering. Our curriculum integrates essential tools and methodologies such as containerization with Docker, Qiskit, PennyLane, and Ocean SDK to provide a comprehensive learning experience. The approach consists of several steps, from introducing the fundamentals of quantum mechanics to hands-on labs focusing on practical use cases. We believe quantum computer programming is an important topic and one that is hard to teach, so having a teaching agenda and guidelines for teaching can be of great help.