Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models

Frederiek Wesel, Kim Batselier

In the context of kernel machines, polynomial and Fourier features are commonly used to provide a nonlinear extension to linear models by mapping the data to a higher-dimensional s…