toqito.state_metrics.bures_distance =================================== .. py:module:: toqito.state_metrics.bures_distance .. autoapi-nested-parse:: Bures distance metric is a commonly used distance metric. It serves as an actual measure of distinguishability between two quantum states. Module Contents --------------- .. py:function:: bures_distance(rho_1, rho_2, decimals = 10) Compute the Bures distance of two density matrices [@WikiBures]. Calculate the Bures distance between two density matrices `rho_1` and `rho_2` defined by: \[ \sqrt{2 (1 - F(\rho_1, \rho_2))}, \] where \(F(\cdot)\) denotes the fidelity between \(\rho_1\) and \(\rho_2\). The return is a value between \(0\) and \(\sqrt{2}\),with \(0\) corresponding to matrices: `rho_1 = rho_2` and \(\sqrt{2}\) corresponding to the case: `rho_1` and `rho_2` with orthogonal support. .. rubric:: 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: \[ \rho = u u^* = \frac{1}{2} \begin{pmatrix} 1 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 1 & 0 & 0 & 1 \end{pmatrix} \in \text{D}(\mathcal{X}). \] In the event where we calculate the Bures distance between states that are identical, we should obtain the value of \(0\). This can be observed in `|toqito⟩` as follows. ```python exec="1" source="above" import numpy as np from toqito.state_metrics import bures_distance rho = 1 / 2 * np.array( [[1, 0, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [1, 0, 0, 1]] ) sigma = rho print(bures_distance(rho, sigma)) ``` :raises ValueError: If matrices are not of equal dimension. :param rho_1: Density operator. :param rho_2: Density operator. :param decimals: Number of decimal places to round to (default 10). :returns: The Bures distance between `rho_1` and `rho_2`.