Raw Feature Vector feature map.
The Raw Feature Vector can be directly used as a feature map, where the raw feature vectors will be automatically padded with ending 0s as necessary, to make sure vector length is a power of 2, and normalized such that it can be treated and used as an initial quantum state vector.
int) – The feature dimension, has a minimum value of 1.
Construct the second order expansion based on given data.
get entangle map
validate entangler map
returns feature dimension
returns number of qubits
returns whether or not the sub-class support parameterized circuit