TrainableFidelityQuantumKernel.evaluate¶
- TrainableFidelityQuantumKernel.evaluate(x_vec, y_vec=None)[소스]¶
Construct kernel matrix for given data.
If y_vec is None, self inner product is calculated.
- 매개변수:
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
- 반환:
2D matrix, NxM
- 반환 형식:
np.ndarray