Quantum Computing and Cybersecurity Education: A Novel Curriculum for Enhancing Graduate STEM Learning

TL;DR

The paper addresses how quantum computing introduces new cybersecurity threats and educational gaps by proposing EE-597: Introduction to Hardware Security, a hands-on graduate course that integrates classical hardware security with quantum security via simulations and cloud-based quantum hardware. Using a mixed-methods evaluation, the study reports significant improvements in students' understanding of both quantum and hardware security and positive responses to course structure and remote delivery, along with heightened interest in quantum cybersecurity careers. The work provides a practical, scalable blueprint for integrating quantum cybersecurity into graduate curricula and discusses plans for broader adoption, industry collaboration, and inclusive expansion. This approach aims to prepare a workforce capable of defending secure systems at the intersection of classical and quantum technologies.

Abstract

Quantum computing is an emerging paradigm with the potential to transform numerous application areas by addressing problems considered intractable in the classical domain. However, its integration into cyberspace introduces significant security and privacy challenges. The exponential rise in cyber attacks, further complicated by quantum capabilities, poses serious risks to financial systems and national security. The scope of quantum threats extends beyond traditional software, operating system, and network vulnerabilities, necessitating a shift in cybersecurity education. Traditional cybersecurity education, often reliant on didactic methods, lacks hands on, student centered learning experiences necessary to prepare students for these evolving challenges. There is an urgent need for curricula that address both classical and quantum security threats through experiential learning. In this work, we present the design and evaluation of EE 597: Introduction to Hardware Security, a graduate level course integrating hands-on quantum security learning with classical security concepts through simulations and cloud-based quantum hardware. Unlike conventional courses focused on quantum threats to cryptographic systems, EE 597 explores security challenges specific to quantum computing itself. We employ a mixed-methods evaluation using pre and post surveys to assess student learning outcomes and engagement. Results indicate significant improvements in students' understanding of quantum and hardware security, with strong positive feedback on course structure and remote instruction (mean scores: 3.33 to 3.83 on a 4 point scale).

Figures (4)

• Figure 1: Comparison of student’s expectations before and after the course. The expectations were measured on a scale from 1 to 4 (1 = strongly disagree to 4 = strongly agree).
• Figure 2: Student's familiarity of knowledge on topics from quantum computing and security before and after the course.
• Figure 3: Post-course student feedback ratings (1–4 scale) on course quality.
• Figure 4: Student's attitudes toward the discipline.