def test_tensorinplace(self):
"""Test inplace tensor method."""
rho0, rho1 = np.diag([1, 0]), np.diag([0, 1])
rho_init = np.kron(rho0, rho0)
# X \otimes I
chan1 = SuperOp(self.sopI)
chan2 = SuperOp(self.sopX)
chan2.tensor(chan1, inplace=True)
rho_targ = np.kron(rho1, rho0)
self.assertEqual(chan2.dims, (4, 4))
self.assertAllClose(chan2._evolve(rho_init), rho_targ)
chan1 = SuperOp(self.sopI)
chan2 = SuperOp(self.sopX)
chan2 ^= chan1
self.assertEqual(chan2.dims, (4, 4))
self.assertAllClose(chan2._evolve(rho_init), rho_targ)
# I \otimes X
chan1 = SuperOp(self.sopI)
chan2 = SuperOp(self.sopX)
chan1.tensor(chan2, inplace=True)
rho_targ = np.kron(rho0, rho1)
self.assertEqual(chan1.dims, (4, 4))
self.assertAllClose(chan1._evolve(rho_init), rho_targ)
chan1 = SuperOp(self.sopI)
chan2 = SuperOp(self.sopX)
chan1 ^= chan2
self.assertEqual(chan1.dims, (4, 4))
self.assertAllClose(chan1._evolve(rho_init), rho_targ)
def test_evolve(self):
"""Test evolve method."""
input_psi = [0, 1]
input_rho = [[0, 0], [0, 1]]
# Identity channel
chan = SuperOp(self.sopI)
target_rho = np.array([[0, 0], [0, 1]])
self.assertAllClose(chan._evolve(input_psi), target_rho)
self.assertAllClose(chan._evolve(np.array(input_psi)), target_rho)
self.assertAllClose(chan._evolve(input_rho), target_rho)
self.assertAllClose(chan._evolve(np.array(input_rho)), target_rho)
# Hadamard channel
mat = np.array([[1, 1], [1, -1]]) / np.sqrt(2)
chan = SuperOp(np.kron(mat.conj(), mat))
target_rho = np.array([[1, -1], [-1, 1]]) / 2
self.assertAllClose(chan._evolve(input_psi), target_rho)
self.assertAllClose(chan._evolve(np.array(input_psi)), target_rho)
self.assertAllClose(chan._evolve(input_rho), target_rho)
self.assertAllClose(chan._evolve(np.array(input_rho)), target_rho)
# Completely depolarizing channel
chan = SuperOp(self.depol_sop(1))
target_rho = np.eye(2) / 2
self.assertAllClose(chan._evolve(input_psi), target_rho)
self.assertAllClose(chan._evolve(np.array(input_psi)), target_rho)
self.assertAllClose(chan._evolve(input_rho), target_rho)
self.assertAllClose(chan._evolve(np.array(input_rho)), target_rho)