QiskitRuntimeService

Return the channel type used.

Return type

str

Returns

The channel type used.

Default value: None

active_account()

Return the IBM Quantum account currently in use for the session.

Return type

Optional[Dict[str, str]]

Returns

A dictionary with information about the account currently in the session.

backend(name, instance=None, use_fractional_gates=False)

Return a single backend matching the specified filtering.

Parameters

• name (str) – Name of the backend.
• instance (Optional[str]) – This is only supported for ibm_quantum runtime and is in the hub/group/project format. If an instance is not given, among the providers with access to the backend, a premium provider will be prioritized. For users without access to a premium provider, the default open provider will be used.
• use_fractional_gates (Optional[bool]) – Set True to allow for the backends to include fractional gates in target. Currently this feature cannot be used simulataneously with dynamic circuits, PEC, PEA, or gate twirling. When this flag is set, control flow instructions are automatically removed from the backend target. When you use the dynamic circuits feature (e.g. if_else) in your algorithm, you must disable this flag to create executable ISA circuits. This flag might be modified or removed when our backend supports dynamic circuits and fractional gates simultaneously. If None, then both fractional gates and control flow operations are included in the backend targets.

Returns

A backend matching the filtering.

Return type

Backend

Raises

QiskitBackendNotFoundError – if no backend could be found.

backends(name=None, min_num_qubits=None, instance=None, dynamic_circuits=None, filters=None, *, use_fractional_gates=False, **kwargs)

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

Parameters

• name (Optional[str]) – Backend name to filter by.

• min_num_qubits (Optional[int]) – Minimum number of qubits the backend has to have.

• instance (Optional[str]) – This is only supported for ibm_quantum runtime and is in the hub/group/project format.

• dynamic_circuits (Optional[bool]) – Filter by whether the backend supports dynamic circuits.

• filters (Optional[Callable[[IBMBackend], bool]]) –

  More complex filters, such as lambda functions. For example:

  QiskitRuntimeService.backends(
      filters=lambda b: b.max_shots > 50000
  )
  QiskitRuntimeService.backends(
      filters=lambda x: ("rz" in x.basis_gates )
  )

• use_fractional_gates (Optional[bool]) – Set True to allow for the backends to include fractional gates in target. Currently this feature cannot be used simulataneously with dynamic circuits, PEC, PEA, or gate twirling. When this flag is set, control flow instructions are automatically removed from the backend target. When you use the dynamic circuits feature (e.g. if_else) in your algorithm, you must disable this flag to create executable ISA circuits. This flag might be modified or removed when our backend supports dynamic circuits and fractional gates simultaneously. If None, then both fractional gates and control flow operations are included in the backend targets.

• **kwargs –

  Simple filters that require a specific value for an attribute in backend configuration or status. Examples:

  # Get the operational real backends
  QiskitRuntimeService.backends(simulator=False, operational=True)
   
  # Get the backends with at least 127 qubits
  QiskitRuntimeService.backends(min_num_qubits=127)
   
  # Get the backends that support OpenPulse
  QiskitRuntimeService.backends(open_pulse=True)

  For the full list of backend attributes, see the IBMBackend class documentation <api/qiskit/providers_models>

Return type

List[IBMBackend]

Returns

The list of available backends that match the filter.

Raises

• IBMInputValueError – If an input is invalid.
• QiskitBackendNotFoundError – If the backend is not in any instance.

check_pending_jobs()

Check the number of pending jobs and wait for the oldest pending job if the maximum number of pending jobs has been reached.

Return type

None

static delete_account(filename=None, name=None, channel=None)

Delete a saved account from disk.

Parameters

• filename (Optional[str]) – Name of file from which to delete the account.
• name (Optional[str]) – Name of the saved account to delete.
• channel (Optional[Literal[‘ibm_cloud’, ‘ibm_quantum’, ‘local’]]) – Channel type of the default account to delete. Ignored if account name is provided.

Return type

bool

Returns

True if the account was deleted. False if no account was found.

delete_job(job_id)

Delete a runtime job.

Note that this operation cannot be reversed.

Parameters

job_id (str) – ID of the job to delete.

Raises

• RuntimeJobNotFound – If the job doesn’t exist.
• IBMRuntimeError – If the request failed.

Return type

None

instances()

Return the IBM Quantum instances list currently in use for the session.

Return type

List[str]

Returns

A list with instances currently in the session.

job(job_id)

Retrieve a runtime job.

Parameters

job_id (str) – Job ID.

Return type

Union[RuntimeJob, RuntimeJobV2]

Returns

Runtime job retrieved.

Raises

• RuntimeJobNotFound – If the job doesn’t exist.
• IBMRuntimeError – If the request failed.

jobs(limit=10, skip=0, backend_name=None, pending=None, program_id=None, instance=None, job_tags=None, session_id=None, created_after=None, created_before=None, descending=True)

Retrieve all runtime jobs, subject to optional filtering.

Parameters

• limit (Optional[int]) – Number of jobs to retrieve. None means no limit.
• skip (int) – Starting index for the job retrieval.
• backend_name (Optional[str]) – Name of the backend to retrieve jobs from.
• pending (Optional[bool]) – Filter by job pending state. If True, ‘QUEUED’ and ‘RUNNING’ jobs are included. If False, ‘DONE’, ‘CANCELLED’ and ‘ERROR’ jobs are included.
• program_id (Optional[str]) – Filter by Program ID.
• instance (Optional[str]) – This is only supported for ibm_quantum runtime and is in the hub/group/project format.
• job_tags (Optional[List[str]]) – Filter by tags assigned to jobs. Matched jobs are associated with all tags.
• session_id (Optional[str]) – Job ID of the first job in a runtime session.
• created_after (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.
• created_before (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.
• descending (bool) – If True, return the jobs in descending order of the job creation date (i.e. newest first) until the limit is reached.

Return type

List[Union[RuntimeJob, RuntimeJobV2]]

Returns

A list of runtime jobs.

Raises

IBMInputValueError – If an input value is invalid.

least_busy(min_num_qubits=None, instance=None, filters=None, **kwargs)

Return the least busy available backend.

Parameters

• min_num_qubits (Optional[int]) – Minimum number of qubits the backend has to have.

• instance (Optional[str]) – This is only supported for ibm_quantum runtime and is in the hub/group/project format.

• filters (Optional[Callable[[IBMBackend], bool]]) –

  Filters can be defined as for the backends() method. An example to get the operational backends with 5 qubits:

  QiskitRuntimeService.least_busy(n_qubits=5, operational=True)

Return type

IBMBackend

Returns

The backend with the fewest number of pending jobs.

Raises

QiskitBackendNotFoundError – If no backend matches the criteria.

static save_account(token=None, url=None, instance=None, channel=None, filename=None, name=None, proxies=None, verify=None, overwrite=False, set_as_default=None, private_endpoint=False)

Save the account to disk for future use.

Parameters

• token (Optional[str]) – IBM Cloud API key or IBM Quantum API token.
• url (Optional[str]) – The API URL. Defaults to https://cloud.ibm.com (ibm_cloud) or https://auth.quantum-computing.ibm.com/api (ibm_quantum).
• instance (Optional[str]) – The CRN (ibm_cloud) or hub/group/project (ibm_quantum).
• channel (Optional[Literal[‘ibm_cloud’, ‘ibm_quantum’, ‘local’]]) – Channel type. ibm_cloud or ibm_quantum.
• filename (Optional[str]) – Full path of the file where the account is saved.
• name (Optional[str]) – Name of the account to save.
• proxies (Optional[dict]) – Proxy configuration. Supported optional keys are urls (a dictionary mapping protocol or protocol and host to the URL of the proxy, documented at https://docs.python-requests.org/en/latest/api/#requests.Session.proxies), username_ntlm, password_ntlm (username and password to enable NTLM user authentication)
• verify (Optional[bool]) – Verify the server’s TLS certificate.
• overwrite (Optional[bool]) – True if the existing account is to be overwritten.
• set_as_default (Optional[bool]) – If True, the account is saved in filename, as the default account.
• private_endpoint (Optional[bool]) – Connect to private API URL.

Return type

None

static saved_accounts(default=None, channel=None, filename=None, name=None)

List the accounts saved on disk.

Parameters

• default (Optional[bool]) – If set to True, only default accounts are returned.
• channel (Optional[Literal[‘ibm_cloud’, ‘ibm_quantum’, ‘local’]]) – Channel type. ibm_cloud or ibm_quantum.
• filename (Optional[str]) – Name of file whose accounts are returned.
• name (Optional[str]) – If set, only accounts with the given name are returned.

Return type

dict

Returns

A dictionary with information about the accounts saved on disk.

Raises

ValueError – If an invalid account is found on disk.

usage()

Return monthly open plan usage information.

Return type

Dict[str, Any]

Returns

Dict with usage details.

Raises

IBMInputValueError – If method is called when using the ibm_cloud channel