def test_apply_SWAP_gate_efficient(self):
qc = QC(2, 0)
qc.X(0)
qc.SWAP(0, 1, efficient=True)
np.testing.assert_array_equal(
qc.total_density_matrix()[0].toarray(),
np.array([[0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]))
def test_measurement_arbitrary_qubit_1(self):
qc = QC(4, 0)
qc.X(2)
outcome = qc.measure(2, basis='Z', probabilistic=True)
resulting_matrix = np.array([[0, 0], [0, 1]])
self.assertEqual(outcome[0], 1)
np.testing.assert_array_equal(
qc.get_combined_density_matrix([2])[0].toarray(), resulting_matrix)
def test_single_gate_error(self):
qc = QC(1, 0, noise=True, pg=0.01)
qc.X(0)
expected_density_matrix = np.array([[2 / 3 * 0.01, 0],
[0, (1 - 0.01) + 0.01 / 3]])
np.testing.assert_array_almost_equal(
qc.total_density_matrix()[0].toarray().real,
expected_density_matrix)
def test_SWAP(self):
qc = QC(5, 0)
qc.X(0)
qc.SWAP(0, 1)
density_matrix_0, qubits_0 = qc._qubit_density_matrix_lookup[0]
density_matrix_1, qubits_1 = qc._qubit_density_matrix_lookup[1]
np.testing.assert_array_equal(density_matrix_0.toarray(),
np.array([[1, 0], [0, 0]]))
np.testing.assert_array_equal(density_matrix_1.toarray(),
np.array([[0, 0], [0, 1]]))
self.assertEqual(qubits_0, [0])
self.assertEqual(qubits_1, [1])
def test_apply_X_gate(self):
qc = QC(1, 0)
qc.X(0)
np.testing.assert_array_equal(qc.total_density_matrix()[0].toarray(),
np.array([[0, 0], [0, 1]]))