Thanks to this Course on Quantum Cryptography and AI: Security in the Post-Quantum Era you’ll gain an in-depth understanding of the a revolution in digital security which raise the quantum computing and the artificial intelligence. By the end, you’ll have a sound understanding of the risks associated with modern cryptography and the new post-quantum solutions, using quantum principles, secure cryptographic algorithms y AI to enhance security. You’ll master a a wide range of secure transmission and data protection technologies. Furthermore, thanks to the study of emerging cryptographic strategies, the homomorphic encryption and the ethical frameworks, you’ll know What approaches are needed to prepare you for the future of cybersecurity?.
Cross-cutting
AI Academy
75 hours
Quantum Cryptography and AI: Security in the Post-Quantum Era
AI Academy
75 hours
Introduction
Objectives
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Understanding classical cryptography and the fundamentals of quantum computing.
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Analysing quantum algorithms and their risks to current cryptography.
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Designing cryptographic strategies that are resistant to quantum computing.
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To learn about secure transmission technologies based on quantum physics.
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Understanding the ethical and legal frameworks in AI and quantum technology.
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Effectively integrating AI into post-quantum security.
Table of Contents
TEACHING UNIT 1. FUNDAMENTALS OF CRYPTOGRAPHY AND INFORMATION SECURITY
Basic concepts of cryptography
Classical encryption systems and their history
Principles of information security
Current threats, vulnerabilities and challenges
TEACHING UNIT 2. PRINCIPLES OF QUANTUM COMPUTING
Basic concepts of quantum physics for computing
The qubit: a unit of quantum information
Overlap, interleaving and measurement
Quantum gates and basic logical operations
TEACHING UNIT 3. QUANTUM THREATS TO CLASSICAL CRYPTOGRAPHY
The vulnerability of classical systems to quantum computing
Quantum algorithms that threaten current cryptography
Impact on public/private key systems
Challenges of migrating to post-quantum cryptography
TEACHING UNIT 4. POST-QUANTUM CRYPTOGRAPHY
The foundations and objectives of post-quantum cryptography
Main families of post-quantum algorithms
Differences and benefits compared with traditional algorithms
Standardisation, applications and current challenges
TEACHING UNIT 5. NIST STANDARDS AND THE POST-QUANTUM TRANSITION
The NIST process and phases for post-quantum standardisation
Technical analysis of the NIST finalist algorithms
Transition and deployment strategies in the real world
Use cases, pilot projects and migration challenges
TEACHING UNIT 6. QUANTUM KEY DISTRIBUTION (QKD)
The physical foundations of quantum key distribution
The BB84 protocol and its variants
Practical applications and QKD networks
Integration of QKD with classical and post-quantum cryptography
TEACHING UNIT 7. ARTIFICIAL INTELLIGENCE IN CRYPTOGRAPHIC ANALYSIS
The fundamentals of analytical cryptography and its link to AI
Applications of AI in auditing and the detection of cryptographic vulnerabilities
AI in cryptanalysis and encrypted pattern recognition
Risks, ethics and mitigation in cryptographic analysis using AI
TEACHING UNIT 8. APPLICATIONS AND REAL-WORLD SCENARIOS OF POST-QUANTUM SECURITY
Current situation and the need for post-quantum security
Real-world examples of the application of post-quantum technologies in critical sectors
Integration of QKD, post-quantum algorithms and AI in hybrid security environments
Technical, economic and regulatory challenges in the transition to post-quantum infrastructure
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