toqito.state_props.has_symmetric_extension ========================================== .. py:module:: toqito.state_props.has_symmetric_extension .. autoapi-nested-parse:: Determine whether there exists a symmetric extension for a given quantum state. Module Contents --------------- .. py:function:: has_symmetric_extension(rho, level = 2, dim = None, ppt = True, tol = 0.0001) Determine whether there exists a symmetric extension for a given quantum state. For more information, see [@Doherty_2002_Distinguishing]. Determining whether an operator possesses a symmetric extension at some level `level` can be used as a check to determine if the operator is entangled or not. This function was adapted from QETLAB. .. rubric:: Examples 2-qubit symmetric extension: In [@Chen_2014_Symmetric], it was shown that a 2-qubit state \(\rho_{AB}\) has a symmetric extension if and only if \[ \text{Tr}(\rho_B^2) \geq \text{Tr}(\rho_{AB}^2) - 4 \sqrt{\text{det}(\rho_{AB})}. \] This closed-form equation is much quicker to check than running the semidefinite program. ```python exec="1" source="above" session="has_symmetric_example" import numpy as np from toqito.state_props import has_symmetric_extension from toqito.matrix_ops import partial_trace rho = np.array([[1, 0, 0, -1], [0, 1, 1/2, 0], [0, 1/2, 1, 0], [-1, 0, 0, 1]]) # Show the closed-form equation holds print( np.trace(np.linalg.matrix_power(partial_trace(rho, 1), 2)) >= np.trace(rho**2) - 4 * np.sqrt(np.linalg.det(rho))) ``` ```python exec="1" source="above" session="has_symmetric_example" # Now show that the `has_symmetric_extension` function recognizes this case. print(has_symmetric_extension(rho)) ``` Higher qubit systems: Consider a density operator corresponding to one of the Bell states. \[ \rho = \frac{1}{2} \begin{pmatrix} 1 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \\ 1 & 0 & 0 & 1 \end{pmatrix} \] To make this state over more than just two qubits, let's construct the following state \[ \sigma = \rho \otimes \rho. \] As the state \(\sigma\) is entangled, there should not exist a symmetric extension at some level. We see this being the case for a relatively low level of the hierarchy. ```python exec="1" source="above" import numpy as np from toqito.states import bell from toqito.state_props import has_symmetric_extension rho = bell(0) @ bell(0).conj().T sigma = np.kron(rho, rho) print(has_symmetric_extension(sigma)) ``` :raises ValueError: If dimension does not evenly divide matrix length. :param rho: A matrix or vector. :param level: Level of the hierarchy to compute. :param dim: The default has both subsystems of equal dimension. :param ppt: If `True`, this enforces that the symmetric extension must be PPT. :param tol: Tolerance when determining whether a symmetric extension exists. :returns: `True` if `mat` has a symmetric extension; `False` otherwise.