qiskit.providers.ibmq.IBMQBackendService¶

class IBMQBackendService(provider)[source]¶

Backend namespace for an IBM Quantum Experience account provider.

Represent a namespace that provides backend related services for the IBM Quantum Experience backends available to this provider. An instance of this class is used as a callable attribute to the AccountProvider class. This allows a convenient way to query for all backends or to access a specific backend:

backends = provider.backends()  # Invoke backends() to get the backends.
sim_backend = provider.backend.ibmq_qasm_simulator  # Get a specific backend instance.

Also, you are able to retrieve jobs from a provider without specifying the backend name. For example, to retrieve the ten most recent jobs you have submitted, regardless of the backend they were submitted to, you could do:

most_recent_jobs = provider.backend.jobs(limit=10)

It is also possible to retrieve a single job without specifying the backend name:

job = provider.backend.retrieve_job(<JOB_ID>)

IBMQBackendService constructor.

Parameters: provider (AccountProvider) – IBM Quantum Experience account provider.

__init__(provider)[source]¶

IBMQBackendService constructor.

Parameters: provider (AccountProvider) – IBM Quantum Experience account provider.

Methods

`__init__`(provider)	IBMQBackendService constructor.
`backends`([name, filters, timeout, …])	Return all backends accessible via this provider, subject to optional filtering.
`jobs`([limit, skip, backend_name, status, …])	Return a list of jobs, subject to optional filtering.
`my_reservations`()	Return your upcoming reservations.
`retrieve_job`(job_id)	Return a single job.

backends(name=None, filters=None, timeout=None, min_num_qubits=None, **kwargs)[source]¶

Return all backends accessible via this provider, subject to optional filtering.

Parameters

name (Optional[str]) – Backend name to filter by.
filters (Optional[Callable[[List[IBMQBackend]], bool]]) –
More complex filters, such as lambda functions. For example:
```
AccountProvider.backends(
    filters=lambda b: b.configuration().quantum_volume > 16)
```
timeout (Optional[float]) – Maximum number of seconds to wait for the discovery of remote backends.
min_num_qubits (Optional[int]) – Minimum number of qubits the backend has to have.
kwargs (Any) –
Simple filters that specify a True/False criteria in the backend configuration, backends status, or provider credentials. An example to get the operational backends with 5 qubits:
```
AccountProvider.backends(n_qubits=5, operational=True)
```

Return type

List[IBMQBackend]

Returns

The list of available backends that match the filter.

jobs(limit=10, skip=0, backend_name=None, status=None, job_name=None, start_datetime=None, end_datetime=None, job_tags=None, job_tags_operator='OR', experiment_id=None, descending=True, db_filter=None)[source]¶

Return a list of jobs, subject to optional filtering.

Retrieve jobs that match the given filters and paginate the results if desired. Note that the server has a limit for the number of jobs returned in a single call. As a result, this function might involve making several calls to the server.

Parameters

limit (int) – Number of jobs to retrieve.
skip (int) – Starting index for the job retrieval.
backend_name (Optional[str]) – Name of the backend to retrieve jobs from.
status (Union[JobStatus, str, List[Union[JobStatus, str]], None]) – Only get jobs with this status or one of the statuses. For example, you can specify status=JobStatus.RUNNING or status=”RUNNING” or status=[“RUNNING”, “ERROR”]
job_name (Optional[str]) – Filter by job name. The job_name is matched partially and regular expressions can be used.
start_datetime (Optional[datetime]) – Filter by the given start date, in local time. This is used to find jobs whose creation dates are after (greater than or equal to) this local date/time.
end_datetime (Optional[datetime]) – Filter by the given end date, in local time. This is used to find jobs whose creation dates are before (less than or equal to) this local date/time.
job_tags (Optional[List[str]]) – Filter by tags assigned to jobs.
job_tags_operator (Optional[str]) –
Logical operator to use when filtering by job tags. Valid values are “AND” and “OR”:
- If “AND” is specified, then a job must have all of the tags specified in job_tags to be included.
- If “OR” is specified, then a job only needs to have any of the tags specified in job_tags to be included.
experiment_id (Optional[str]) – Filter by job experiment ID.
descending (bool) – If True, return the jobs in descending order of the job creation date (i.e. newest first) until the limit is reached.
db_filter (Optional[Dict[str, Any]]) –
A loopback-based filter. This is an interface to a database where filter. Some examples of its usage are:

Filter last five jobs with errors:
```
job_list = backend.jobs(limit=5, status=JobStatus.ERROR)
```
Filter last five jobs with hub name ibm-q:
```
filter = {'hubInfo.hub.name': 'ibm-q'}
job_list = backend.jobs(limit=5, db_filter=filter)
```

Return type

List[IBMQJob]

Returns

A list of IBMQJob instances.

Raises

IBMQBackendValueError – If a keyword value is not recognized.
TypeError – If the input start_datetime or end_datetime parameter value is not valid.

my_reservations()[source]¶

Return your upcoming reservations.

Return type: List[BackendReservation]
Returns: A list of your upcoming reservations.

retrieve_job(job_id)[source]¶

Return a single job.

Parameters

job_id (str) – The ID of the job to retrieve.

Return type

IBMQJob

Returns

The job with the given id.

Raises

IBMQBackendApiError – If an unexpected error occurred when retrieving the job.
IBMQBackendApiProtocolError – If unexpected return value received from the server.