# QuantumKernel.evaluate¶

QuantumKernel.evaluate(x_vec, y_vec=None)[source]

Construct kernel matrix for given data and feature map

If y_vec is None, self inner product is calculated. If using statevector_simulator, only build circuits for $$\Psi(x)|0\rangle$$, then perform inner product classically.

Paramètres
Type renvoyé

ndarray

Renvoie

2D matrix, NxM

Lève
• A quantum instance or backend has not been provided

• unbound user parameters in the feature map circuit - x_vec and/or y_vec are not one or two dimensional arrays - x_vec and y_vec have have incompatible dimensions - x_vec and/or y_vec have incompatible dimension with feature map and and feature map can not be modified to match.