Learning interpretable representations of entanglement in quantum optics experiments using deep generative models.
Daniel Flam-ShepherdTony C. WuXuemei GuAlba Cervera-LiertaMario KrennAlán Aspuru-GuzikPublished in: Nat. Mach. Intell. (2022)
Keyphrases
- generative model
- deep belief networks
- prior knowledge
- discriminative learning
- learning algorithm
- boltzmann machine
- learning process
- hidden variables
- unsupervised learning
- deep learning
- feature representations
- probabilistic model
- parameter learning
- mixture model
- conditional random fields
- em algorithm
- discriminative models
- active learning