Learning ground states of gapped quantum Hamiltonians with Kernel Methods.
Clemens GiulianiFilippo VicentiniRiccardo RossiGiuseppe CarleoPublished in: Quantum (2023)
Keyphrases
- kernel methods
- learning problems
- learning tasks
- multiple kernel
- kernel ridge regression
- kernel learning
- active learning
- supervised learning
- reinforcement learning
- kernel function
- discriminative learning
- learning algorithm
- kernel matrices
- feature space
- support vector
- kernel matrix
- feature selection
- kernel machines
- machine learning