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qiskit.providers.ibmq.managed.IBMQJobManager

class IBMQJobManager[source]

Job Manager for IBM Quantum Experience.

The Job Manager is a higher level mechanism for handling jobs composed of multiple circuits or pulse schedules. It splits the experiments into multiple jobs based on backend restrictions. When the jobs are finished, it collects and presents the results in a unified view.

You can use the run() method to submit multiple experiments with the Job Manager:

from qiskit import IBMQ, transpile
from qiskit.providers.ibmq.managed import IBMQJobManager
from qiskit.circuit.random import random_circuit

provider = IBMQ.load_account()
backend = provider.get_backend('ibmq_qasm_simulator')

# Build a thousand circuits.
circs = []
for _ in range(1000):
    circs.append(random_circuit(num_qubits=5, depth=4, measure=True))

# Need to transpile the circuits first.
circs = transpile(circs, backend=backend)

# Use Job Manager to break the circuits into multiple jobs.
job_manager = IBMQJobManager()
job_set_foo = job_manager.run(circs, backend=backend, name='foo')

The run() method returns a ManagedJobSet instance, which represents the set of jobs for the experiments. You can use the ManagedJobSet methods, such as statuses(), results(), and error_messages() to get a combined view of the jobs in the set. For example:

results = job_set_foo.results()
results.get_counts(5)  # Counts for experiment 5.

The job_set_id() method of ManagedJobSet returns the job set ID, which can be used to retrieve the job set later:

job_set_id = job_set_foo.job_set_id()
retrieved_foo = job_manager.retrieve_job_set(job_set_id=job_set_id, provider=provider)

IBMQJobManager constructor.

__init__()[source]

IBMQJobManager constructor.

Methods

__init__()

IBMQJobManager constructor.

job_sets([name])

Return job sets being managed in this session, subject to optional filtering.

report([detailed])

Return a report on the statuses of all jobs managed by this Job Manager.

retrieve_job_set(job_set_id, provider[, refresh])

Retrieve a previously submitted job set.

run(experiments, backend[, name, …])

Execute a set of circuits or pulse schedules on a backend.

job_sets(name=None)[source]

Return job sets being managed in this session, subject to optional filtering.

Parameters

name (Optional[str]) – Name of the managed job sets.

Return type

List[ManagedJobSet]

Returns

A list of managed job sets that match the filter.

report(detailed=True)[source]

Return a report on the statuses of all jobs managed by this Job Manager.

Parameters

detailed (bool) – True if a detailed report is to be returned. False if a summary report is to be returned.

Return type

str

Returns

A report on job statuses.

retrieve_job_set(job_set_id, provider, refresh=False)[source]

Retrieve a previously submitted job set.

Parameters
  • job_set_id (str) – Job set ID.

  • provider (AccountProvider) – Provider used for this job set.

  • refresh (bool) – If True, re-query the server for the job set information. Otherwise return the cached value.

Return type

ManagedJobSet

Returns

Retrieved job set.

Raises
run(experiments, backend, name=None, max_experiments_per_job=None, job_share_level=None, job_tags=None, **run_config)[source]

Execute a set of circuits or pulse schedules on a backend.

The circuits or schedules will be split into multiple jobs. Circuits or schedules in a job will be executed together in each shot.

Parameters
  • experiments (Union[List[QuantumCircuit], List[Schedule]]) – Circuit(s) or pulse schedule(s) to execute.

  • backend (IBMQBackend) – Backend to execute the experiments on.

  • name (Optional[str]) – Name for this set of jobs. Each job within the set will have a job name that consists of the set name followed by a suffix. If not specified, the current date and time is used.

  • max_experiments_per_job (Optional[int]) – Maximum number of experiments to run in each job. If not specified, the default is to use the maximum allowed by the backend. If the specified value is greater the maximum allowed by the backend, the default is used.

  • job_share_level (Optional[str]) – Allow sharing the jobs at the hub, group, project, or global level. The level can be one of: global, hub, group, project, and none.

  • job_tags (Optional[List[str]]) – Tags to be assigned to the jobs. The tags can subsequently be used as a filter in the IBMQBackend.jobs() function call.

  • run_config (Any) –

    Configuration of the runtime environment. Some examples of these configuration parameters include: qobj_id, qobj_header, shots, memory, seed_simulator, qubit_lo_freq, meas_lo_freq, qubit_lo_range, meas_lo_range, schedule_los, meas_level, meas_return, meas_map, memory_slot_size, rep_time, and parameter_binds.

    Refer to the documentation on qiskit.compiler.assemble() for details on these arguments.

Return type

ManagedJobSet

Returns

A ManagedJobSet instance representing the set of jobs for the experiments.

Raises

IBMQJobManagerInvalidStateError – If an input parameter value is not valid.

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