class TestInitialStateZero(QiskitAquaTestCase):
def test_qubits_2_vector(self):
self.zero = Zero(2)
cct = self.zero.construct_circuit('vector')
np.testing.assert_array_equal(cct, [1.0, 0.0, 0.0, 0.0])
def test_qubits_5_vector(self):
self.zero = Zero(5)
cct = self.zero.construct_circuit('vector')
np.testing.assert_array_equal(cct, [
1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0
])
def test_qubits_2_circuit(self):
self.zero = Zero(2)
cct = self.zero.construct_circuit('circuit')
self.assertEqual(cct.qasm(),
'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[2];\n')
def test_qubits_5_circuit(self):
self.zero = Zero(5)
cct = self.zero.construct_circuit('circuit')
self.assertEqual(cct.qasm(),
'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\n')
def test_qubits_5_vector(self):
self.zero = Zero(5)
cct = self.zero.construct_circuit('vector')
np.testing.assert_array_equal(cct, [
1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0
])
def test_vqe_direct(self, batch_mode):
backend = get_aer_backend('statevector_simulator')
num_qubits = self.algo_input.qubit_op.num_qubits
init_state = Zero(num_qubits)
var_form = RY(num_qubits, 3, initial_state=init_state)
optimizer = L_BFGS_B()
algo = VQE(self.algo_input.qubit_op, var_form, optimizer, 'matrix', batch_mode=batch_mode)
quantum_instance = QuantumInstance(backend)
result = algo.run(quantum_instance)
self.assertAlmostEqual(result['energy'], -1.85727503)
def test_vqe_caching_direct(self, batch_mode):
backend = get_aer_backend('statevector_simulator')
num_qubits = self.algo_input.qubit_op.num_qubits
init_state = Zero(num_qubits)
var_form = RY(num_qubits, 3, initial_state=init_state)
optimizer = L_BFGS_B()
algo = VQE(self.algo_input.qubit_op,
var_form,
optimizer,
'matrix',
batch_mode=batch_mode)
circuit_cache = CircuitCache(skip_qobj_deepcopy=True)
quantum_instance_caching = QuantumInstance(backend,
circuit_cache=circuit_cache,
skip_qobj_validation=True)
result_caching = algo.run(quantum_instance_caching)
self.assertAlmostEqual(
self.reference_vqe_result['statevector_simulator']['energy'],
result_caching['energy'])
def test_qubits_5_circuit(self):
self.zero = Zero(5)
cct = self.zero.construct_circuit('circuit')
self.assertEqual(cct.qasm(),
'OPENQASM 2.0;\ninclude "qelib1.inc";\nqreg q[5];\n')
"label": "ZZ"
}, {
"coeff": {
"imag": 0.0,
"real": 0.18093119978423156
},
"label": "XX"
}]
}
# ======================
# setting up the circuit
# ======================
# define the initial state
init_state = Zero(num_qubits)
# get a variational ansatz
ansatz = RY(num_qubits, initial_state=init_state)
# operator from hamiltonian
qubit_op = Operator.load_from_dict(pauli_dict)
# get an optimizer
optimizer = COBYLA(maxiter=1000, disp=True)
# form the algorithm
vqe = VQE(qubit_op, ansatz, optimizer)
# get a backend
backend = get_aer_backend("statevector_simulator")