Positive-definite parametrization of mixed quantum states with deep neural networks.
Filippo VicentiniRiccardo RossiGiuseppe CarleoPublished in: CoRR (2022)
Keyphrases
- positive definite
- neural network
- covariance matrix
- kernel function
- geometric structure
- pattern recognition
- neural network model
- diffusion tensor
- kernel matrix
- kernel machines
- training process
- semi parametric
- artificial neural networks
- back propagation
- knn
- reproducing kernel hilbert space
- sufficient conditions
- real valued
- learning theory