def setUp(self):
super().setUp()
qubit_op_simple = MatrixOperator(matrix=TestIQPE.H1)
qubit_op_simple = op_converter.to_weighted_pauli_operator(qubit_op_simple)
qubit_op_h2_with_2_qubit_reduction = WeightedPauliOperator.from_dict(TestIQPE.PAULI_DICT)
qubit_op_zz = WeightedPauliOperator.from_dict(TestIQPE.PAULI_DICT_ZZ)
self._dict = {
'QUBIT_OP_SIMPLE': qubit_op_simple.to_opflow(),
'QUBIT_OP_ZZ': qubit_op_zz.to_opflow(),
'QUBIT_OP_H2_WITH_2_QUBIT_REDUCTION': qubit_op_h2_with_2_qubit_reduction.to_opflow()
}
def from_params(cls, params):
if EnergyInput.PROP_KEY_QUBITOP not in params:
raise AquaError("Qubit operator is required.")
qparams = params[EnergyInput.PROP_KEY_QUBITOP]
qubit_op = WeightedPauliOperator.from_dict(qparams)
if EnergyInput.PROP_KEY_AUXOPS in params:
auxparams = params[EnergyInput.PROP_KEY_AUXOPS]
aux_ops = [
WeightedPauliOperator.from_dict(auxparams[i])
for i in range(len(auxparams))
]
return cls(qubit_op, aux_ops)
def setUp(self):
super().setUp()
self.seed = 50
aqua_globals.random_seed = self.seed
pauli_dict = {
'paulis': [{
"coeff": {
"imag": 0.0,
"real": -1.052373245772859
},
"label": "II"
}, {
"coeff": {
"imag": 0.0,
"real": 0.39793742484318045
},
"label": "IZ"
}, {
"coeff": {
"imag": 0.0,
"real": -0.39793742484318045
},
"label": "ZI"
}, {
"coeff": {
"imag": 0.0,
"real": -0.01128010425623538
},
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
self.qubit_op = WeightedPauliOperator.from_dict(pauli_dict).to_opflow()
num_qubits = self.qubit_op.num_qubits
ansatz = TwoLocal(num_qubits,
rotation_blocks=['ry', 'rz'],
entanglement_blocks='cz')
warnings.filterwarnings('ignore', category=DeprecationWarning)
self.ryrz_wavefunction = {
'wrapped': RYRZ(num_qubits),
'circuit': QuantumCircuit(num_qubits).compose(ansatz),
'library': ansatz
}
ansatz = ansatz.copy()
ansatz.rotation_blocks = 'ry'
self.ry_wavefunction = {
'wrapped': RY(num_qubits),
'circuit': QuantumCircuit(num_qubits).compose(ansatz),
'library': ansatz
}
warnings.filterwarnings('always', category=DeprecationWarning)
def get_hamiltonian_operator(i_coef, z_coef, x_coef, y_coef):
pauli_dict = {
'paulis': [{"coeff": {"imag": 0.0, "real": i_coef}, "label": "II"},
{"coeff": {"imag": 0.0, "real": z_coef}, "label": "ZZ"},
{"coeff": {"imag": 0.0, "real": x_coef}, "label": "XX"},
{"coeff": {"imag": 0.0, "real": y_coef}, "label": "YY"}
]
}
return WeightedPauliOperator.from_dict(pauli_dict)
def setUp(self):
super().setUp()
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"}
]
}
self.qubit_op = WeightedPauliOperator.from_dict(pauli_dict)
def setUp(self):
super().setUp()
self.random_seed = 0
np.random.seed(self.random_seed)
pauli_dict = {
'paulis': [{"coeff": {"imag": 0.0, "real": -1.052373245772859}, "label": "II"},
{"coeff": {"imag": 0.0, "real": 0.39793742484318045}, "label": "IZ"},
{"coeff": {"imag": 0.0, "real": -0.39793742484318045}, "label": "ZI"},
{"coeff": {"imag": 0.0, "real": -0.01128010425623538}, "label": "ZZ"},
{"coeff": {"imag": 0.0, "real": 0.18093119978423156}, "label": "XX"}
]
}
qubit_op = WeightedPauliOperator.from_dict(pauli_dict)
self.algo_input = EnergyInput(qubit_op)
def hamiltonian_operator:
"""
Creates the Hamilton for which we want to
estimate the least eigenvalue.
"""
pauli_dict = {
'paulis': [{"coeff": {"imag": 0.0, "real": -0.5}, "label": "II"},
{"coeff": {"imag": 0.0, "real": -0.5}, "label": "ZZ"},
{"coeff": {"imag": 0.0, "real": 0.5}, "label": "XX"},
{"coeff": {"imag": 0.0, "real": 0.5}, "label": "YY"}
]
}
return WeightedPauliOperator.from_dict(pauli_dict)
def setUp(self):
super().setUp()
warnings.filterwarnings("ignore",
message=aqua_globals.CONFIG_DEPRECATION_MSG,
category=DeprecationWarning)
# np.random.seed(50)
self.seed = 50
aqua_globals.random_seed = self.seed
pauli_dict = {
'paulis': [{
"coeff": {
"imag": 0.0,
"real": -1.052373245772859
},
"label": "II"
}, {
"coeff": {
"imag": 0.0,
"real": 0.39793742484318045
},
"label": "IZ"
}, {
"coeff": {
"imag": 0.0,
"real": -0.39793742484318045
},
"label": "ZI"
}, {
"coeff": {
"imag": 0.0,
"real": -0.01128010425623538
},
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
self.qubit_op = WeightedPauliOperator.from_dict(pauli_dict)
def setUp(self):
super().setUp()
np.random.seed(50)
pauli_dict = {
'paulis': [{
"coeff": {
"imag": 0.0,
"real": -1.052373245772859
},
"label": "II"
}, {
"coeff": {
"imag": 0.0,
"real": 0.39793742484318045
},
"label": "IZ"
}, {
"coeff": {
"imag": 0.0,
"real": -0.39793742484318045
},
"label": "ZI"
}, {
"coeff": {
"imag": 0.0,
"real": -0.01128010425623538
},
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
qubit_op = WeightedPauliOperator.from_dict(pauli_dict)
self.algo_input = EnergyInput(qubit_op)
self.reference_vqe_result = None
# TODO: only work with optimization_level 0 now
self.optimization_level = 0
def test_legacy_operator(self):
"""Test the VQE accepts and converts the legacy WeightedPauliOperator."""
pauli_dict = {
'paulis': [{
"coeff": {
"imag": 0.0,
"real": -1.052373245772859
},
"label": "II"
}, {
"coeff": {
"imag": 0.0,
"real": 0.39793742484318045
},
"label": "IZ"
}, {
"coeff": {
"imag": 0.0,
"real": -0.39793742484318045
},
"label": "ZI"
}, {
"coeff": {
"imag": 0.0,
"real": -0.01128010425623538
},
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
h2_op = WeightedPauliOperator.from_dict(pauli_dict)
vqe = VQE(h2_op)
self.assertEqual(vqe.operator, self.h2_op)
"label": "ZI"
}, {
"coeff": {
"imag": 0.0,
"real": -0.01128010425623538
},
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
QUBIT_OP_H2_WITH_2_QUBIT_REDUCTION = WeightedPauliOperator.from_dict(
PAULI_DICT)
PAULI_DICT_ZZ = {
'paulis': [{
"coeff": {
"imag": 0.0,
"real": 1.0
},
"label": "ZZ"
}]
}
QUBIT_OP_ZZ = WeightedPauliOperator.from_dict(PAULI_DICT_ZZ)
class TestQPE(QiskitAquaTestCase):
"""QPE tests."""
from qiskit.aqua.operators import WeightedPauliOperator, X, Z
W1 = np.array([[0, 1, 0, 1], [1, 0, 1, 0], [0, 1, 0, 1], [1, 0, 1, 0]])
P1 = 1
M1 = WeightedPauliOperator.from_dict({
'paulis': [{
'label': 'IIIX',
'coeff': {
'real': 1
}
}, {
'label': 'IIXI',
'coeff': {
'real': 1
}
}, {
'label': 'IXII',
'coeff': {
'real': 1
}
}, {
'label': 'XIII',
'coeff': {
'real': 1
}
}]
}).to_opflow()
S1 = {'0101', '1010'}
W2 = np.array([
[0., 8., -9., 0.],
Z = np.array([[1, 0], [0, -1]])
_I = np.array([[1, 0], [0, 1]])
h1 = X + Y + Z + _I
qubit_op_simple = MatrixOperator(matrix=h1)
qubit_op_simple = op_converter.to_weighted_pauli_operator(qubit_op_simple)
pauli_dict = {
'paulis': [
{"coeff": {"imag": 0.0, "real": -1.052373245772859}, "label": "II"},
{"coeff": {"imag": 0.0, "real": 0.39793742484318045}, "label": "IZ"},
{"coeff": {"imag": 0.0, "real": -0.39793742484318045}, "label": "ZI"},
{"coeff": {"imag": 0.0, "real": -0.01128010425623538}, "label": "ZZ"},
{"coeff": {"imag": 0.0, "real": 0.18093119978423156}, "label": "XX"}
]
}
qubit_op_h2_with_2_qubit_reduction = WeightedPauliOperator.from_dict(pauli_dict)
pauli_dict_zz = {
'paulis': [
{"coeff": {"imag": 0.0, "real": 1.0}, "label": "ZZ"}
]
}
qubit_op_zz = WeightedPauliOperator.from_dict(pauli_dict_zz)
class TestQPE(QiskitAquaTestCase):
"""QPE tests."""
@parameterized.expand([
[qubit_op_simple, 'qasm_simulator', 1, 5],
def setUp(self):
super().setUp()
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"
}]
}
self.qubit_op = WeightedPauliOperator.from_dict(pauli_dict)
aux_dict_1 = {
'paulis': [{
'coeff': {
'imag': 0.0,
'real': 2.0
},
'label': 'II'
}]
}
aux_dict_2 = {
'paulis': [{
'coeff': {
'imag': 0.0,
'real': 0.5
},
'label': 'II'
}, {
'coeff': {
'imag': 0.0,
'real': 0.5
},
'label': 'ZZ'
}, {
'coeff': {
'imag': 0.0,
'real': 0.5
},
'label': 'YY'
}, {
'coeff': {
'imag': 0.0,
'real': -0.5
},
'label': 'XX'
}]
}
self.aux_ops = [
WeightedPauliOperator.from_dict(aux_dict_1),
WeightedPauliOperator.from_dict(aux_dict_2)
]
}, {
"coeff": {
"imag": 0.0,
"real": -0.01128010425623538
},
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
qubit_op = WeightedPauliOperator.from_dict(pauli_dict)
num_qubits = qubit_op.num_qubits
print('Number of qubits: {}'.format(num_qubits))
# ### Picking Quantum Circuit to Represent Wavefunction
# We will be discussing details on these waveforms tomorrow
# In[3]:
init_state = Zero(num_qubits)
var_form = RY(num_qubits, initial_state=init_state)
# # Using Simulator Backend
# In[4]:
