Quantum data & scientific ML
Four detailed lessons, mathematical definitions, worked examples and limitations.
Explore the lessons
Concept 29Learning from quantum statesWhen inputs are quantum states rather than classical vectors, quantum measurements can preserve task-relevant information.Concept 30Quantum state tomographyInfer a density matrix from measurements, with costs that can scale poorly for general many-qubit states.Concept 31Quantum phase recognitionUse measurement statistics or wavefunction features to identify phases and phase transitions.Concept 32Quantum sensing with MLApply learning algorithms to quantum sensor signals for calibration, denoising and parameter estimation.