Quantum and AI - Securing the Future

Overview

Syllabus

• Introduction to Quantum Computing
Principles of quantum mechanics
Qubits and quantum states
Quantum gates and circuits
• Basics of Artificial Intelligence in Cybersecurity
Overview of AI and machine learning
Application of AI in security systems
Limitations and challenges of AI in cybersecurity
• Intersection of Quantum Computing and AI
Synergies between quantum algorithms and AI
Impact of quantum computing on AI processing power
Quantum machine learning
• Quantum Computing in Cybersecurity
Quantum key distribution and cryptography
Post-quantum cryptography
Potential threats of quantum computers to current cryptographic systems
• AI-Enhanced Quantum Algorithms for Security
Optimization of quantum algorithms using AI
AI in quantum security protocol design
Case studies of quantum-enhanced security systems
• Future of Quantum and AI in Cybersecurity
Emerging trends and technologies
Research and development initiatives
Strategic implications for businesses and policymakers
• Conclusion and Discussion
Review of key concepts
Open forum for Q&A
Exploration of next steps in learning and implementation
• Additional Resources
Suggested readings and publications
Online resources and courses
Networking opportunities within the quantum and AI communities

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Subjects

Computer Science