RawFeatureVector¶

class RawFeatureVector(feature_dimension=2)[source]¶

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.

Parameters: feature_dimension (int) – The feature dimension, has a minimum value of 1.

Attributes

`RawFeatureVector.feature_dimension`	returns feature dimension
`RawFeatureVector.num_qubits`	returns number of qubits
`RawFeatureVector.support_parameterized_circuit`	returns whether or not the sub-class support parameterized circuit

Methods

`RawFeatureVector.construct_circuit`(x[, qr, …])	Construct the second order expansion based on given data.
`RawFeatureVector.get_entangler_map`(map_type, …)	get entangle map
`RawFeatureVector.validate_entangler_map`(…)	validate entangler map