def test_vertex_cover_vqe(self):
""" Vertex Cover VQE test """
algorithm_cfg = {'name': 'VQE', 'max_evals_grouped': 2}
optimizer_cfg = {'name': 'SPSA', 'max_trials': 200}
var_form_cfg = {
'name': 'RYRZ',
'depth': 3,
}
params = {
'problem': {
'name': 'ising',
'random_seed': self.seed
},
'algorithm': algorithm_cfg,
'optimizer': optimizer_cfg,
'variational_form': var_form_cfg
}
backend = BasicAer.get_backend('qasm_simulator')
result = run_algorithm(params, self.algo_input, backend=backend)
x = sample_most_likely(result['eigvecs'][0])
sol = vertex_cover.get_graph_solution(x)
oracle = self._brute_force()
self.assertEqual(np.count_nonzero(sol), oracle)
def test_vertex_cover_direct(self):
""" Vertex Cover Direct test """
algo = ExactEigensolver(self.qubit_op, k=1, aux_operators=[])
result = algo.run()
x = sample_most_likely(result['eigvecs'][0])
sol = vertex_cover.get_graph_solution(x)
np.testing.assert_array_equal(sol, [0, 1, 1])
oracle = self._brute_force()
self.assertEqual(np.count_nonzero(sol), oracle)
def test_vertex_cover(self):
""" Vertex Cover test """
algo = NumPyMinimumEigensolver(self.qubit_op, aux_operators=[])
result = algo.run()
x = sample_most_likely(result.eigenstate)
sol = vertex_cover.get_graph_solution(x)
np.testing.assert_array_equal(sol, [0, 1, 1])
oracle = self._brute_force()
self.assertEqual(np.count_nonzero(sol), oracle)
def test_vertex_cover(self):
""" Vertex cover test """
params = {
'problem': {'name': 'ising'},
'algorithm': {'name': 'ExactEigensolver'}
}
result = run_algorithm(params, EnergyInput(self.qubit_op))
x = sample_most_likely(result['eigvecs'][0])
sol = vertex_cover.get_graph_solution(x)
np.testing.assert_array_equal(sol, [0, 1, 1])
oracle = self._brute_force()
self.assertEqual(np.count_nonzero(sol), oracle)
def test_vertex_cover_vqe(self):
""" Vertex Cover VQE test """
aqua_globals.random_seed = self.seed
result = VQE(self.qubit_op,
RYRZ(self.qubit_op.num_qubits, depth=3),
SPSA(max_trials=200),
max_evals_grouped=2).run(
QuantumInstance(BasicAer.get_backend('qasm_simulator'),
seed_simulator=aqua_globals.random_seed,
seed_transpiler=aqua_globals.random_seed))
x = sample_most_likely(result['eigvecs'][0])
sol = vertex_cover.get_graph_solution(x)
oracle = self._brute_force()
self.assertEqual(np.count_nonzero(sol), oracle)