Quantum AI
Where quantum computing and artificial intelligence genuinely meet
A technical view of quantum machine learning, optimisation and AI-assisted quantum engineering without inflated capability claims.
Quantum methods for learning
Quantum kernels, variational circuits and sampling methods are studied for specific computational structures.
AI for quantum systems
Machine learning already supports calibration, control, error decoding and experimental design.
Evidence standard
A useful claim needs a fair classical baseline, total runtime, data-loading cost and reproducible results.