def test_sparse_matrix_Y(self):
term = QubitOperator(((0, 'Y'), ))
sparse_operator = get_sparse_operator(term)
self.assertEqual(list(sparse_operator.data), [1j, -1j])
self.assertEqual(list(sparse_operator.indices), [1, 0])
self.assertTrue(is_hermitian(sparse_operator))
def test_sparse_matrix_zero_5qubit(self):
sparse_operator = get_sparse_operator(QubitOperator((), 0.0), 5)
sparse_operator.eliminate_zeros()
self.assertEqual(len(list(sparse_operator.data)), 0)
self.assertEqual(sparse_operator.shape, (32, 32))
def test_sparse_matrix_error(self):
with self.assertRaises(TypeError):
_ = get_sparse_operator(1)
def test_sparse_matrix_quad(self):
sparse_operator = get_sparse_operator(QuadOperator('q0'), trunc=self.d)
self.assertTrue(numpy.allclose(sparse_operator.toarray(), self.q))
self.assertEqual(sparse_operator.shape, (self.d, self.d))
def test_sparse_matrix_ladder(self):
sparse_operator = get_sparse_operator(BosonOperator('0'), trunc=self.d)
self.assertTrue(numpy.allclose(sparse_operator.toarray(), self.b))
self.assertEqual(sparse_operator.shape, (self.d, self.d))
def test_sparse_matrix_zero_n_qubit(self):
sparse_operator = get_sparse_operator(FermionOperator.zero(), 4)
sparse_operator.eliminate_zeros()
self.assertEqual(len(list(sparse_operator.data)), 0)
self.assertEqual(sparse_operator.shape, (16, 16))
def test_sparse_matrix_identity_5qubit(self):
sparse_operator = get_sparse_operator(QubitOperator(()), 5)
self.assertEqual(list(sparse_operator.data), [1] * 32)
self.assertEqual(sparse_operator.shape, (32, 32))
