Source code for toqito.state_metrics.trace_distance
"""Trace distance metric gives a measure of distinguishability between two quantum states.
The trace distance is calculated via density matrices.
"""
import numpy as np
from toqito.matrix_props import is_density, trace_norm
[docs]
def trace_distance(rho: np.ndarray, sigma: np.ndarray) -> float | np.floating:
r"""Compute the trace distance between density operators `rho` and `sigma`.
The trace distance between \(\rho\) and \(\sigma\) is defined as
\[
\delta(\rho, \sigma) = \frac{1}{2} \left( \text{Tr}(\left| \rho - \sigma
\right| \right).
\]
More information on the trace distance can be found in [@Quantiki_TrDist].
Examples:
Consider the following Bell state
\[
u = \frac{1}{\sqrt{2}} \left( |00 \rangle + |11 \rangle \right) \in \mathcal{X}.
\]
The corresponding density matrix of \(u\) may be calculated by:
\[
\rho = u u^* = \begin{pmatrix}
1 & 0 & 0 & 1 \\
0 & 0 & 0 & 0 \\
0 & 0 & 0 & 0 \\
1 & 0 & 0 & 1
\end{pmatrix} \in \text{D}(\mathcal{X}).
\]
The trace distance between \(\rho\) and another state \(\sigma\) is equal to \(0\) if any only if
\(\rho = \sigma\). We can check this using the `|toqito⟩` package.
```python exec="1" source="above"
from toqito.states import bell
from toqito.state_metrics import trace_distance
rho = bell(0) @ bell(0).conj().T
sigma = rho
print(trace_distance(rho, sigma))
```
Raises:
ValueError: If matrices are not of density operators.
Args:
rho: An input matrix.
sigma: An input matrix.
Returns:
The trace distance between `rho` and `sigma`.
"""
if not is_density(rho) or not is_density(sigma):
raise ValueError("Trace distance only defined for density matrices.")
return trace_norm(np.abs(rho - sigma)) / 2