Exponential concentration and untrainability in quantum kernel methods.
Supanut ThanasilpSamson WangMarco CerezoZoë HolmesPublished in: CoRR (2022)
Keyphrases
- kernel methods
- learning problems
- kernel function
- support vector
- feature space
- machine learning
- kernel matrix
- similarity function
- multiple kernel learning
- learning tasks
- support vector machine
- data sets
- graph kernels
- kernel parameters
- multiple kernel
- kernel matrices
- reproducing kernel hilbert space
- kernel learning
- kernel pca
- high dimensional feature space
- kernel ridge regression
- high dimensional
- learning frameworks
- kernel fisher discriminant analysis