Teaching quantum computing to computer science students: Review of a hands-on quantum circuit simulation practical

TL;DR

This paper reviews a practical course for graduate students that uses hands-on quantum circuit simulation to deepen understanding of quantum computing concepts and prepare students for research in the field.

Contribution

It introduces a hands-on teaching approach using quantum circuit simulators, enhancing students' grasp of fundamental quantum computing principles.

Findings

Students gain in-depth understanding of superposition and entanglement.

Implementation of simulation methods improves conceptual comprehension.

Course prepares students for advanced research in quantum computing.

Abstract

We present a practical course targeting graduate students with prior knowledge of the basics of quantum computing. The practical aims to deepen students' understanding of fundamental concepts in quantum computing by implementing quantum circuit simulators. Through hands-on experience, students learn about different methods to simulate quantum computing, including state vectors, density matrices, the stabilizer formalism, and matrix product states. By implementing the simulation methods themselves, students develop a more in-depth understanding of fundamental concepts in quantum computing, including superposition, entanglement, and the effects of noise on quantum systems. This hands-on experience prepares students to do research in the field of quantum computing and equips them with the knowledge and skills necessary to tackle complex research projects in the field. In this work, we describe our teaching approach and the structure of our practical, and we discuss evaluations and lessons learned.