The quantum Boltzmann machine (QBM) is a machine learning model with applications ranging from generative modeling to the initialization of neural networks and physics models of experimental data. Here the authors show that QBMs can be trained sample efficiently and that the sample complexity can be further reduced with pre-training strategies.
- Luuk Coopmans
- Marcello Benedetti
