Quantum Computing Education for Computer Science Students: Bridging the Gap with Layered Learning and Intuitive Analogies

TL;DR

This paper introduces a layered, analogy-based teaching method to help computer science students grasp quantum computing concepts without prior advanced math or quantum mechanics background.

Contribution

It presents a novel scaffolded learning approach using intuitive analogies, differing from traditional math-heavy quantum education methods.

Findings

Effective analogies for quantum concepts like entanglement and superposition

Layered learning approach improves student understanding

Method tailored for undergraduate computer science students

Abstract

Quantum computing presents a transformative potential for the world of computing. However, integrating this technology into the curriculum for computer science students who lack prior exposure to quantum mechanics and advanced mathematics remains a challenging task. This paper proposes a scaffolded learning approach aimed at equipping computer science students with essential quantum principles. By introducing foundational quantum concepts through relatable analogies and a layered learning approach based on classical computation, this approach seeks to bridge the gap between classical and quantum computing. This differs from previous approaches which build quantum computing fundamentals from the prerequisite of linear algebra and mathematics. The paper offers a considered set of intuitive analogies for foundation quantum concepts including entanglement, superposition, quantum data structures and quantum algorithms. These analogies coupled with a computing-based layered learning approach, lay the groundwork for a comprehensive teaching methodology tailored for undergraduate third level computer science students.