There is more speculation about quantum AI than about any other part of quantum technology, so we evaluate its claims carefully. In this domain, we tie every claim to a demonstrated result and compare every benchmark against a serious classical baseline. We also say which questions are still open.
Courses in this domain fall into three groups. Practitioners build and evaluate quantum machine learning models hands-on. Engineers learn where machine learning already improves quantum computers themselves, from calibration to error decoding. In the executive briefing, leaders work out decisions they can defend on the most hyped topic in quantum. Security teams that need to protect AI systems against the quantum threat should see Quantum-Safe AI Systems in our sector series.