def test_end2end_h2(self, name, optimizer, backend, shots):
""" end to end h2 """
del name # unused
if optimizer == 'COBYLA':
optimizer = COBYLA()
optimizer.set_options(maxiter=1000)
elif optimizer == 'SPSA':
optimizer = SPSA(max_trials=2000)
ryrz = RYRZ(self.qubit_op.num_qubits, depth=3, entanglement='full')
vqe = VQE(self.qubit_op, ryrz, optimizer, aux_operators=self.aux_ops)
quantum_instance = QuantumInstance(backend, shots=shots)
results = vqe.run(quantum_instance)
self.assertAlmostEqual(results['energy'], self.reference_energy, places=4)
def test_end2end_h2(self, name, optimizer, backend, mode, shots):
if optimizer == 'COBYLA':
optimizer = COBYLA()
optimizer.set_options(maxiter=1000)
elif optimizer == 'SPSA':
optimizer = SPSA(max_trials=2000)
ryrz = RYRZ(self.algo_input.qubit_op.num_qubits, depth=3, entanglement='full')
vqe = VQE(self.algo_input.qubit_op, ryrz, optimizer, mode, aux_operators=self.algo_input.aux_ops)
run_config = RunConfig(shots=shots, max_credits=10, memory=False)
quantum_instance = QuantumInstance(backend, run_config)
results = vqe.run(quantum_instance)
self.assertAlmostEqual(results['energy'], self.reference_energy, places=4)
def test_end2end_h2(self, name, optimizer, backend, shots):
""" end to end h2 """
del name # unused
if optimizer == 'COBYLA':
optimizer = COBYLA()
optimizer.set_options(maxiter=1000)
elif optimizer == 'SPSA':
optimizer = SPSA(maxiter=2000)
ryrz = TwoLocal(rotation_blocks=['ry', 'rz'], entanglement_blocks='cz')
vqe = VQE(self.qubit_op, ryrz, optimizer, aux_operators=self.aux_ops)
quantum_instance = QuantumInstance(backend, shots=shots)
result = vqe.run(quantum_instance)
self.assertAlmostEqual(result.eigenvalue.real,
self.reference_energy,
places=4)
