def test_partition_direct(self):
algo = ExactEigensolver(self.algo_input.qubit_op,
k=1,
aux_operators=[])
result = algo.run()
x = partition.sample_most_likely(result['eigvecs'][0])
np.testing.assert_array_equal(x, [0, 1, 0])
def test_partition_vqe(self):
algorithm_cfg = {
'name': 'VQE',
'operator_mode': 'grouped_paulis',
'max_evals_grouped': 2
}
optimizer_cfg = {'name': 'SPSA', 'max_trials': 200}
var_form_cfg = {'name': 'RY', 'depth': 5, 'entanglement': 'linear'}
params = {
'problem': {
'name': 'ising',
'random_seed': 100
},
'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 = partition.sample_most_likely(result['eigvecs'][0])
self.assertNotEqual(x[0], x[1])
self.assertNotEqual(x[2], x[1]) # hardcoded oracle
def test_partition(self):
params = {
'problem': {
'name': 'ising'
},
'algorithm': {
'name': 'ExactEigensolver'
}
}
result = run_algorithm(params, self.algo_input)
x = partition.sample_most_likely(result['eigvecs'][0])
np.testing.assert_array_equal(x, [0, 1, 0])
