Is there any way to create a for loop that would send a few jobs to run on a quantum computer simultaneously? I tried:
for i, entanglementor in enumerate(entanglement):
print('\rentanglement: {} '.format(entanglement[i]), end='')
algorithm_globals.random_seed = 50
#ansatz = TwoLocal(rotation_blocks='ry',
entanglement_blocks='cz',entanglement=entanglement[i])
form = EfficientSU2(num_qubits=2, entanglement=entanglement[i])
#ansatz = RealAmplitudes(2, entanglement[i], reps=2, insert_barriers=True)
optimizer = COBYLA(maxiter=5)
counts = []
values = []
def store_intermediate_result(eval_count, parameters, mean, std):
counts.append(eval_count)
values.append(mean)
vqe = VQE(form, optimizer, callback=store_intermediate_result,
quantum_instance=QuantumInstance(backend=device))
print("Running VQE algorithm on real hardware with device: ", device)
vqe.ansatz.draw()
result = vqe.compute_minimum_eigenvalue(operator=H2_op)
converge_cnts[i] = np.asarray(counts)
converge_vals[i] = np.asarray(values)
print('\rentanglement complete ');
The problem is that this sends one job to the QC, and then waits until it gets a result before continuing the loop, which can obviously take quite a while. Is there a method to get the loop to continue while a job is queued?
