The symposium will cover a wide range of topics related to advanced materials, including but not limited to:
Quantum mechanics applications and quantum information processing
Experimental quantum computing platforms (ion traps, superconducting qubits)
Quantum materials and their physical properties
AI applications in physical simulations and experiments
Cybersecurity of quantum devices
Quantum chemistry and molecular simulations
AI-driven materials discovery and design
Nanomaterials and quantum dots
Secure data handling in chemical and materials research
Quantum sensors in chemical analysis
Quantum computing hardware and quantum communication circuits
AI in embedded systems and IoT devices
Secure electronic design and cryptographic hardware
Quantum cryptography and quantum key distribution
Neuromorphic and bio-inspired electronics
Quantum-based sensors and actuators
AI-driven design and optimization
Cybersecurity in manufacturing and industrial control systems
Smart materials and adaptive structures
Robotics and automation integrating AI and quantum technologies
Quantum algorithms and complexity theory
Mathematical models in AI and machine learning
Cryptographic protocols and security proofs
Data science and statistical learning theory
Quantum information theory and entanglement measures
Quantum computing algorithms and programming
Artificial Intelligence: deep learning, reinforcement learning, explainable AI
Cybersecurity: threat detection, intrusion prevention, blockchain
Quantum-safe cryptography and post-quantum algorithms
Big data analytics and cloud security
Smart infrastructure with AI-based monitoring and maintenance
Cybersecurity in critical infrastructure and smart cities
Quantum sensing for structural health monitoring
AI-driven optimization of construction processes
Sustainable materials and quantum-enhanced composites
Construction materials and their applications
AI for process optimization and control
Quantum simulations of chemical processes
Cybersecurity in industrial automation and SCADA systems
Process modeling using quantum and AI methods
Advanced sensors for real-time process monitoring