def from_params(self, params):
if EnergyInput.PROP_KEY_QUBITOP not in params:
raise AlgorithmError("Qubit operator is required.")
qparams = params[EnergyInput.PROP_KEY_QUBITOP]
self._qubit_op = Operator.load_from_dict(qparams)
if EnergyInput.PROP_KEY_AUXOPS in params:
auxparams = params[EnergyInput.PROP_KEY_AUXOPS]
self._aux_ops = [Operator.load_from_dict(auxparams[i]) for i in range(len(auxparams))]
def setUp(self):
np.random.seed(50)
pauli_dict = {
'paulis': [{
"coeff": {
"imag": 0.0,
"real": -1.052373245772859
},
"label": "II"
}, {
"coeff": {
"imag": 0.0,
"real": 0.39793742484318045
},
"label": "ZI"
}, {
"coeff": {
"imag": 0.0,
"real": -0.39793742484318045
},
"label": "IZ"
}, {
"coeff": {
"imag": 0.0,
"real": -0.01128010425623538
},
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
qubitOp = Operator.load_from_dict(pauli_dict)
self.algo_input = get_input_instance('EnergyInput')
self.algo_input.qubit_op = qubitOp
"label": "IZ"
}, {
"coeff": {
"imag": 0.0,
"real": -0.01128010425623538
},
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
qubitOp_h2_with_2_qubit_reduction = Operator.load_from_dict(pauli_dict)
class TestIQPE(QISKitAcquaTestCase):
"""QPE tests."""
@parameterized.expand([
[qubitOp_h2_with_2_qubit_reduction],
])
def test_qpe(self, qubitOp):
self.algorithm = 'QPE'
self.log.debug('Testing QPE')
self.qubitOp = qubitOp
exact_eigensolver = get_algorithm_instance('ExactEigensolver')
exact_eigensolver.init_args(self.qubitOp, k=1)
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# =============================================================================
from qiskit_acqua import Operator, run_algorithm
from qiskit_acqua.input import get_input_instance
pauli_dict = {
'paulis': [{"coeff": {"imag": 0.0, "real": -1.052373245772859},
"label": "II"},
{"coeff": {"imag": 0.0, "real": 0.39793742484318045},
"label": "ZI"},
{"coeff": {"imag": 0.0, "real": -0.39793742484318045},
"label": "ZZ"},
{"coeff": {"imag": 0.0, "real": 0.18093119978423156},
"label": "XX"}
]
}
algo_input = get_input_instance('EnergyInput')
algo_input.qubit_op = Operator.load_from_dict(pauli_dict)
params = {
'algorithm': {'name': 'VQE'},
'optimizer': {'name': 'SPSA'},
'variational_form': {'name': 'RY', 'depth': 5},
'backend': {'name': 'local_qasm_simulator'}
}
result = run_algorithm(params, algo_input)
print(result['energy'])
