Quantum × AI
A research framework for the quantum–AI intersection
Separate quantum algorithms for AI from AI tools used to design, operate and interpret quantum systems.
Two directions
Quantum-for-AI and AI-for-quantum solve different problems and require different evidence.
Hybrid workflows
Near-term research combines classical optimisation, quantum circuits and carefully measured feedback loops.
Research questions
We track scalability, trainability, noise sensitivity, verification and total resource cost.