On the expressivity of embedding quantum kernels.
Elies Gil-FusterJens EisertVedran DunjkoPublished in: Mach. Learn. Sci. Technol. (2024)
Keyphrases
- vector space
- kernel function
- kernel methods
- support vector
- quantum computation
- quantum computing
- feature space
- linear combination
- computational properties
- robust image watermarking
- quantum inspired
- gaussian kernels
- data embedding
- graph embedding
- nonlinear dimensionality reduction
- quantum mechanics
- logic circuits
- kernel learning
- multiple kernel learning
- data hiding
- probability ranking principle
- machine learning