Research Initiative
AI-QEC
Exploring the intersection of artificial intelligence and quantum error correction, and their implications for secure, resilient systems.
Overview
AI-QEC investigates how advances in quantum error correction and quantum computing may intersect with artificial intelligence, and what implications these developments have for security, reliability, and trustworthiness of future systems.
Research Areas
- •Quantum-resistant AI and machine learning architectures
- •Error correction mechanisms in distributed AI systems
- •Reliability and verification of quantum-classical hybrid systems
- •Security implications of quantum computing for AI systems
- •Resilience of neural networks and learning systems under quantum perturbations
Current Focus
Our current work focuses on understanding the landscape of quantum-resistant machine learning, exploring error correction strategies for AI systems, and developing methodologies for evaluating the reliability of systems that integrate quantum and classical computing.
Collaborate
We're seeking collaborators from quantum computing, AI/ML, and systems security communities to explore these frontier topics together.