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Quantum Readiness in Cybersecurity Education: A Framework for Preparing the Next Generation in the Post-quantum Era

Crossref
Authors: George Antoniou

Year

2025

Paper ID

4813

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

213

Citations

0

Abstract

Article History Received: Accepted: This framework addresses the critical gap between post-quantum standards and workforce readiness. Shor's algorithm demonstrates that sufficiently powerful quantum computers can break the cryptographic foundations of internet security. While the cryptography research community has developed quantum-resistant algorithms, educational institutions have not prepared students to implement these solutions. Recent surveys show fewer than half of organizations have begun planning for post-quantum cryptography (PQC) transitions (Entrust Cybersecurity Institute, 2024; U.S. Government Accountability Office, 2023; (ISC)², 2024). The NICE Framework (Newhouse, Keith, Scribner, & Witte, 2017) outlines the knowledge and skills that cybersecurity professionals should possess. The framework omits post-quantum cryptography entirely. Organizations are not ready either. A 2024 survey found that only 44% have started planning for the transition (Entrust Cybersecurity Institute, 2024). Worse, 43% do not even know what cryptographic systems they currently use (Entrust Cybersecurity Institute, 2024). Without that basic inventory, migration planning is impossible. We developed the Quantum Readiness Framework (QRF) to prepare the workforce that these organizations need. Our five-dimensional model connects post-quantum cryptography standards with practical workforce development strategies. The model integrates foundational quantum concepts, quantum-resistant cryptographic techniques, practical deployment strategies, AI-assisted learning, and neurodiversity-informed pedagogies. It creates pathways for diverse student populations to develop the skills organizations urgently need. The QRF provides institutions with an actionable blueprint for preparing students to deploy quantum-resistant cryptography.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2025 reference point for readers tracking recent quantum research.
  • Article History Received: Accepted: This framework addresses the critical gap between post-quantum standards and workforce readiness.

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