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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def covariance_mtx_to_superop(self, mtx):
 """ Converts a covariance matrix to the corresponding superoperator, represented as a QuTiP Qobj with ``type="super"``. """

        M = self.flat()
        return qt.Qobj(
            np.dot(np.dot(M.conj().T, mtx), M),
            dims=[[self.dims] * 2] * 2
        )