toqito.channels.depolarizing¶
Generates the depolarizing channel.
Module Contents¶
- toqito.channels.depolarizing.depolarizing(dim, param_p=0)[source]¶
Produce the partially depolarizing channel.
(Section: Replacement Channels and the Completely Depolarizing Channel from [@Watrous_2018_TQI]).
The Choi matrix of the completely depolarizing channel [@WikiDepo] that acts on dim-by-dim matrices.
The completely depolarizing channel is defined as
- [
Omega(X) = text{Tr}(X) omega
]
for all (X in text{L}(mathcal{X})), where
- [
omega = frac{mathbb{I}_{mathcal{X}}}{text{dim}(mathcal{X})}
]
denotes the completely mixed stated defined with respect to the space (mathcal{X}).
Examples
The completely depolarizing channel maps every density matrix to the maximally-mixed state. For example, consider the density operator
- [
- rho = frac{1}{2} begin{pmatrix}
1 & 0 & 0 & 1 \ 0 & 0 & 0 & 0 \ 0 & 0 & 0 & 0 \ 1 & 0 & 0 & 1
end{pmatrix}
]
corresponding to one of the Bell states. Applying the depolarizing channel to (rho) we have that
- [
- Phi(rho) = frac{1}{4} begin{pmatrix}
1 & 0 & 0 & 0 \ 0 & 1 & 0 & 0 \ 0 & 0 & 1 & 0 \ 0 & 0 & 0 & 1
end{pmatrix}.
]
This can be observed in |toqito⟩ as follows.
```python exec=”1” source=”above” import numpy as np from toqito.channels import depolarizing from toqito.channel_ops import apply_channel
test_input_mat = np.array([[1 / 2, 0, 0, 1 / 2], [0, 0, 0, 0], [0, 0, 0, 0], [1 / 2, 0, 0, 1 / 2]])
print(apply_channel(test_input_mat, depolarizing(4))) ```
```python exec=”1” source=”above” import numpy as np from toqito.channels import depolarizing from toqito.channel_ops import apply_channel
test_input_mat = np.arange(1, 17).reshape(4, 4)
print(apply_channel(test_input_mat, depolarizing(4, 0.5))) ```
- Raises:
ValueError – If param_p is outside the interval [0,1].
- Parameters:
dim (int) – The dimensionality on which the channel acts.
param_p (float) – Depolarizing probability (p ) in [0,1] that mixes the input state with the maximally mixed state.
0. (Default)
- Returns:
The Choi matrix of the completely depolarizing channel.
- Return type:
numpy.ndarray