GaussianState

Module: pennylane

class GaussianState(r, V, wires)[source]

Prepare subsystems in a given Gaussian state.

Details:

  • Number of wires: Any
  • Number of parameters: 2
  • Gradient recipe: None
Parameters:
  • r (array) – a length \(2N\) vector of means, of the form \((\x_0,\dots,\x_{N-1},\p_0,\dots,\p_{N-1})\)
  • V (array) – the \(2N\times 2N\) (real and positive definite) covariance matrix