|View source on GitHub|
Merges two density matrices into a single unified density matrix.
cirq.linalg.density_matrix_kronecker_product( t1: np.ndarray, t2: np.ndarray ) -> np.ndarray
The resulting matrix's shape will be
(t1.shape/2 + t2.shape/2) * 2. In
other words, if t1 has shape [A,B,C,A,B,C] and t2 has shape [X,Y,Z,X,Y,Z],
the resulting matrix will have shape [A,B,C,X,Y,Z,A,B,C,X,Y,Z].
||The first density matrix.|
||The second density matrix.|
|A density matrix representing the unified state.|