Quantum generative learning
Four detailed lessons, mathematical definitions, worked examples and limitations.
Explore the lessons
Concept 25Born machinesA parameterized circuit defines a probability distribution through computational-basis measurement.Concept 26Quantum circuit GANsA quantum generator can be trained adversarially against a classical or quantum discriminator.Concept 27Quantum autoencodersLearn a compression unitary that moves relevant information into a smaller latent subsystem.Concept 28Quantum Boltzmann modelsThermal-state-based models describe distributions using parameterized Hamiltonians.