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])