Closed akihikokuroda closed 5 months ago
I added the transpiler step like this in qaoa.py:
if service is not None:
# if we have service we need to open a session and create sampler
service = arguments.get("service")
backend = service.least_busy(operational=True, simulator=False, min_num_qubits=127)
session = Session(service=service, backend=backend)
options = Options()
options.optimization_level = 3
pm = generate_preset_pass_manager(optimization_level=1, backend=backend)
ansatz = pm.run(ansatz)
then it's getting:
/tmp/ray/session_2024-05-17_12-34-33_233332_8/runtime_resources/working_dir_files/_ray_pkg6854cd4610ddcb3f/qaoa.py:79: DeprecationWarning: The Sampler and Estimator V1 primitives have been deprecated as of qiskit-ibm-runtime 0.23.0 and will be removed no sooner than 3 months after the release date. Please use the V2 Primitives. See the V2 migration guide <[https://docs.quantum.ibm.com/api/migration-guides/v2-primitives>
](https://docs.quantum.ibm.com/api/migration-guides/v2-primitives%3E%60_). for more details\n estimator = Estimator(session=session, options=options)\ncapi_return is NULL\nCall-back cb_calcfc_incobylauser__routines failed.\nTraceback (most recent call last):\n File "/tmp/ray/session_2024-05-17_12-34-33_233332_8/runtime_resources/working_dir_files/_ray_pkg_6854cd4610ddcb3f/qaoa.py", line 84, in
Here is summary of circuit creation code.
import numpy as np
from qiskit.circuit.library import QAOAAnsatz
from qiskit.circuit.library import IQP
from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
from qiskit_ibm_runtime import QiskitRuntimeService
from qiskit.quantum_info import SparsePauliOp
from qiskit.circuit.library import IQP
from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
operator = SparsePauliOp.from_list([("IIIZZ", 1), ("IIZIZ", 1), ("IZIIZ", 1), ("ZIIIZ", 1)])
ansatz = QAOAAnsatz(operator, reps=2)
ansatz = ansatz.decompose(reps=3)
ansatz.draw(fold=-1)
service = QiskitRuntimeService(
channel='ibm_quantum',
instance='ibm-q/open/main',
token='<my token>'
)
backend = service.least_busy(operational=True, simulator=False, min_num_qubits=127)
pm = generate_preset_pass_manager(optimization_level=1, backend=backend)
ansatz_t = pm.run(ansatz)
ansatz_t.draw(fold=-1)
I'll update the sample by following this https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm
Steps to reproduce the problem
Execute
docs/examples/02_qaoa
withQiskitRuntimeService
for an account andUSE_RUNTIME_SERVICE = True
What is the current behavior?
So I tried to run the examples/02_qaoa with backend = "ibm_sherbrooke"
I got
and
What is the expected behavior?
Job is executed successfully on the quantum system.