strong_ent_layer_normal

Module: pennylane.init

strong_ent_layer_normal(n_wires, mean=0, std=0.1, seed=None)[source]

Creates a list of a single parameter array for StronglyEntanglingLayer(), drawn from a normal distribution.

The shape of the parameter array is (n_wires, 3) and each parameter is drawn from a normal distribution with mean mean and standard deviation std. The parameters define the three rotation angles applied to each layer.

Parameters:

n_wires (int) – number of qubits

Keyword Arguments:
 
  • mean (float) – mean of parameters
  • std (float) – standard deviation of parameters
  • seed (int) – seed used in sampling the parameters, makes function call deterministic
Returns:

list of parameter array