Allow increasing job timeout

[dowusu-antwi]

What is happening?

@ColinCampbellCQ would like to run IRB jobs on lagos, and so will need to wait for a while in the queue. Thus, perhaps we should allow increasing / overriding the timeout client-side (maybe restricted by role).

What are the current alternatives?

Come up with some other framework for submitting jobs like IRB, QAOA/VQE, etc. that take a while (Runtime will help, but we'll still need to handle the timeout issue on top of this).

Any additional context?

No response

[vtomole]

@vtomole Find out what is timing out exactly.

[vtomole]

@ColinCampbellCQ is calling IRB via .block_for_results(). This might not be necessary. He's looking into it.

[ColinCampbellCQ]

This is the jupyter notebook I use to submit to IBMQ. To my knowledge, it will wait indefinitely, but even if the notebook kernel dies, I can recover two ibm job ids from the account page.

[vtomole]

Can you paste the code instead of the image of the code? That will make it so i can just copy-paste instead of rewriting what's in the image to try to reproduce.

[ColinCampbellCQ]

Ok, here's just the code:

from qiskit import IBMQ
from qiskit_experiments.library import InterleavedRB
from qiskit_experiments.framework.experiment_data import ExperimentData
from qiskit.circuit.library import CXGate
import numpy as np
import qiskit_superstaq as qss

IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q')
backend = provider.get_backend("ibm_lagos")

print(backend.configuration().basis_gates)
print(backend.configuration().coupling_map)

lengths = np.arange(1, 100, 15)
num_samples = 10
qubits = [3, 5]
irb_experiment = InterleavedRB(CXGate(), qubits=qubits, lengths=lengths, num_samples=num_samples)

irb_experiment_data = irb_experiment.run(backend, **{"shots": 1000}).block_for_results()
irb_experiment_results = irb_experiment_data.analysis_results()
display(irb_experiment_results.figure(0))

[ColinCampbellCQ]

Amendment

from qiskit import IBMQ
from qiskit_experiments.library import InterleavedRB
from qiskit_experiments.framework.experiment_data import ExperimentData
from qiskit.circuit.library import CXGate
import numpy as np
import qiskit_superstaq as qss

IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q')
backend = provider.get_backend("ibm_lagos")

print(backend.configuration().basis_gates)
print(backend.configuration().coupling_map)

lengths = np.arange(1, 100, 15)
num_samples = 10
qubits = [3, 5]
irb_experiment = InterleavedRB(CXGate(), qubits=qubits, lengths=lengths, num_samples=num_samples)

irb_experiment_data = irb_experiment.run(backend, **{"shots": 1000}).block_for_results()
irb_experiment_results = irb_experiment_data.analysis_results()
display(irb_experiment_data.figure(0))