def test_qsvm_setup_data(self, data_preparation_type):
""" QSVM Setup Data test """
ref_kernel_testing = np. array([[0.1443953, 0.18170069, 0.47479649, 0.14691763],
[0.33041779, 0.37663733, 0.02115561, 0.16106199]])
ref_support_vectors = np.array([[2.95309709, 2.51327412], [3.14159265, 4.08407045],
[4.08407045, 2.26194671], [4.46106157, 2.38761042]])
backend = BasicAer.get_backend('statevector_simulator')
data_preparation = self.data_preparation[data_preparation_type]
try:
if data_preparation_type == 'wrapped':
warnings.filterwarnings('ignore', category=DeprecationWarning)
svm = QSVM(data_preparation)
if data_preparation_type == 'wrapped':
warnings.filterwarnings('always', category=DeprecationWarning)
svm.setup_training_data(self.training_data)
svm.setup_test_data(self.testing_data)
quantum_instance = QuantumInstance(backend, seed_transpiler=self.random_seed,
seed_simulator=self.random_seed)
result = svm.run(quantum_instance)
np.testing.assert_array_almost_equal(
result['kernel_matrix_testing'], ref_kernel_testing, decimal=4)
self.assertEqual(len(result['svm']['support_vectors']), 4)
np.testing.assert_array_almost_equal(
result['svm']['support_vectors'], ref_support_vectors, decimal=4)
self.assertEqual(result['testing_accuracy'], 0.5)
except NameError as ex:
self.skipTest(str(ex))
def test_qsvm_setup_data(self):
""" QSVM Setup Data test """
ref_kernel_testing = np. array([[0.1443953, 0.18170069, 0.47479649, 0.14691763],
[0.33041779, 0.37663733, 0.02115561, 0.16106199]])
ref_support_vectors = np.array([[2.95309709, 2.51327412], [3.14159265, 4.08407045],
[4.08407045, 2.26194671], [4.46106157, 2.38761042]])
backend = BasicAer.get_backend('statevector_simulator')
num_qubits = 2
feature_map = SecondOrderExpansion(feature_dimension=num_qubits,
depth=2,
entangler_map=[[0, 1]])
svm = QSVM(feature_map)
svm.setup_training_data(self.training_data)
svm.setup_test_data(self.testing_data)
quantum_instance = QuantumInstance(backend, seed_transpiler=self.random_seed,
seed_simulator=self.random_seed)
result = svm.run(quantum_instance)
np.testing.assert_array_almost_equal(
result['kernel_matrix_testing'], ref_kernel_testing, decimal=4)
self.assertEqual(len(result['svm']['support_vectors']), 4)
np.testing.assert_array_almost_equal(
result['svm']['support_vectors'], ref_support_vectors, decimal=4)
self.assertEqual(result['testing_accuracy'], 0.5)
def test_setup_data(self):
"""Test the setup_*_data methods of QSVM."""
data_preparation = self.data_preparation
try:
svm = QSVM(data_preparation)
svm.setup_training_data(self.training_data)
svm.setup_test_data(self.testing_data)
result = svm.run(self.statevector_simulator)
np.testing.assert_array_almost_equal(result['kernel_matrix_testing'],
self.ref_kernel_testing['statevector'], decimal=4)
self.assertEqual(len(result['svm']['support_vectors']), 4)
np.testing.assert_array_almost_equal(result['svm']['support_vectors'],
self.ref_support_vectors, decimal=4)
self.assertEqual(result['testing_accuracy'], 0.5)
except MissingOptionalLibraryError as ex:
self.skipTest(str(ex))