FidelityQuantumKernel.evaluate¶
- FidelityQuantumKernel.evaluate(x_vec, y_vec=None)[source]¶
Construct kernel matrix for given data.
If y_vec is None, self inner product is calculated.
- Parameters:
x_vec (np.ndarray) -- 1D or 2D array of datapoints, NxD, where N is the number of datapoints, D is the feature dimension
y_vec (np.ndarray | None) -- 1D or 2D array of datapoints, MxD, where M is the number of datapoints, D is the feature dimension
- Return type:
np.ndarray
- Returns:
2D matrix, NxM