Пример #1
0
    def test_graph_partition_vqe(self):
        """ Graph Partition VQE test """
        algorithm_cfg = {'name': 'VQE', 'max_evals_grouped': 2}

        optimizer_cfg = {'name': 'SPSA', 'max_trials': 300}

        var_form_cfg = {'name': 'RY', 'depth': 5, 'entanglement': 'linear'}

        params = {
            'problem': {
                'name': 'ising',
                'random_seed': 10598
            },
            'algorithm': algorithm_cfg,
            'optimizer': optimizer_cfg,
            'variational_form': var_form_cfg
        }
        backend = BasicAer.get_backend('statevector_simulator')
        result = run_algorithm(params, self.algo_input, backend=backend)
        x = sample_most_likely(result['eigvecs'][0])
        # check against the oracle
        ising_sol = graph_partition.get_graph_solution(x)
        np.testing.assert_array_equal(ising_sol, [0, 1, 0, 1])
        oracle = self._brute_force()
        self.assertEqual(graph_partition.objective_value(x, self.w), oracle)
Пример #2
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 def test_graph_partition(self):
     """ Graph Partition test """
     algo = NumPyMinimumEigensolver(self.qubit_op, aux_operators=[])
     result = algo.run()
     x = sample_most_likely(result.eigenstate)
     # check against the oracle
     ising_sol = graph_partition.get_graph_solution(x)
     np.testing.assert_array_equal(ising_sol, [0, 1, 0, 1])
     oracle = self._brute_force()
     self.assertEqual(graph_partition.objective_value(x, self.w), oracle)
Пример #3
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 def test_graph_partition_direct(self):
     """ Graph Partition Direct test """
     algo = ExactEigensolver(self.qubit_op, k=1, aux_operators=[])
     result = algo.run()
     x = sample_most_likely(result['eigvecs'][0])
     # check against the oracle
     ising_sol = graph_partition.get_graph_solution(x)
     np.testing.assert_array_equal(ising_sol, [0, 1, 0, 1])
     oracle = self._brute_force()
     self.assertEqual(graph_partition.objective_value(x, self.w), oracle)
Пример #4
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 def test_graph_partition(self):
     """ Graph Partition test """
     params = {
         'problem': {
             'name': 'ising'
         },
         'algorithm': {
             'name': 'ExactEigensolver'
         }
     }
     result = run_algorithm(params, self.algo_input)
     x = sample_most_likely(result['eigvecs'][0])
     # check against the oracle
     ising_sol = graph_partition.get_graph_solution(x)
     np.testing.assert_array_equal(ising_sol, [0, 1, 0, 1])
     oracle = self._brute_force()
     self.assertEqual(graph_partition.objective_value(x, self.w), oracle)
Пример #5
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    def test_graph_partition_vqe(self):
        """ Graph Partition VQE test """
        aqua_globals.random_seed = 10598
        result = VQE(self.qubit_op,
                     RY(self.qubit_op.num_qubits,
                        depth=5,
                        entanglement='linear'),
                     SPSA(max_trials=300),
                     max_evals_grouped=2).run(
                         QuantumInstance(
                             BasicAer.get_backend('statevector_simulator'),
                             seed_simulator=aqua_globals.random_seed,
                             seed_transpiler=aqua_globals.random_seed))

        x = sample_most_likely(result['eigvecs'][0])
        # check against the oracle
        ising_sol = graph_partition.get_graph_solution(x)
        np.testing.assert_array_equal(ising_sol, [0, 1, 0, 1])
        oracle = self._brute_force()
        self.assertEqual(graph_partition.objective_value(x, self.w), oracle)