IBMQBackend

class IBMQBackend(configuration, provider, credentials, api_client)

Bases: qiskit.providers.backend.BackendV1

Backend class interfacing with an IBM Quantum Experience device.

You can run experiments on a backend using the run() method. The run() method takes one or more QuantumCircuit or Schedule and returns an IBMQJob instance that represents the submitted job. Each job has a unique job ID, which can later be used to retrieve the job. An example of this flow:

from qiskit import IBMQ, assemble, transpile
from qiskit.circuit.random import random_circuit
 
provider = IBMQ.load_account()
backend = provider.backend.ibmq_vigo
qx = random_circuit(n_qubits=5, depth=4)
transpiled = transpile(qx, backend=backend)
job = backend.run(transpiled)
retrieved_job = backend.retrieve_job(job.job_id())

Note

Unlike qiskit.execute(), the run() method does not transpile the circuits/schedules for you, so be sure to do so before submitting them.
You should not instantiate the IBMQBackend class directly. Instead, use the methods provided by an AccountProvider instance to retrieve and handle backends.

Other methods return information about the backend. For example, the status() method returns a BackendStatus instance. The instance contains the operational and pending_jobs attributes, which state whether the backend is operational and also the number of jobs in the server queue for the backend, respectively:

status = backend.status()
is_operational = status.operational
jobs_in_queue = status.pending_jobs

It is also possible to see the number of remaining jobs you are able to submit to the backend with the job_limit() method, which returns a BackendJobLimit instance:

job_limit = backend.job_limit()

IBMQBackend constructor.

Parameters

configuration (Union[QasmBackendConfiguration, PulseBackendConfiguration]) – Backend configuration.
provider (AccountProvider) – IBM Quantum Experience account provider
credentials (Credentials) – IBM Quantum Experience credentials.
api_client (AccountClient) – IBM Quantum Experience client used to communicate with the server.

Methods

active_jobs

IBMQBackend.active_jobs(limit=10)

Return the unfinished jobs submitted to this backend.

Return the jobs submitted to this backend, with this provider, that are currently in an unfinished job status state. The unfinished JobStatus states include: INITIALIZING, VALIDATING, QUEUED, and RUNNING.

Parameters

limit (int) – Number of jobs to retrieve.

Return type

List[IBMQJob]

Returns

A list of the unfinished jobs for this backend on this provider.

configuration

IBMQBackend.configuration()

Return the backend configuration.

Backend configuration contains fixed information about the backend, such as its name, number of qubits, basis gates, coupling map, quantum volume, etc.

The schema for backend configuration can be found in Qiskit/ibm-quantum-schemas.

Return type

Union[QasmBackendConfiguration, PulseBackendConfiguration]

Returns

The configuration for the backend.

defaults

IBMQBackend.defaults(refresh=False)

Return the pulse defaults for the backend.

The schema for default pulse configuration can be found in Qiskit/ibm-quantum-schemas.

Parameters

refresh (bool) – If True, re-query the server for the backend pulse defaults. Otherwise, return a cached version.

Return type

Optional[PulseDefaults]

Returns

The backend pulse defaults or None if the backend does not support pulse.

job_limit

IBMQBackend.job_limit()

Return the job limit for the backend.

The job limit information includes the current number of active jobs you have on the backend and the maximum number of active jobs you can have on it.

Note

Job limit information for a backend is provider specific. For example, if you have access to the same backend via different providers, the job limit information might be different for each provider.

If the method call was successful, you can inspect the job limit for the backend by accessing the maximum_jobs and active_jobs attributes of the BackendJobLimit instance returned. For example:

backend_job_limit = backend.job_limit()
maximum_jobs = backend_job_limit.maximum_jobs
active_jobs = backend_job_limit.active_jobs

If maximum_jobs is equal to None, then there is no limit to the maximum number of active jobs you could have on the backend.

Return type

BackendJobLimit

Returns

The job limit for the backend, with this provider.

Raises

IBMQBackendApiProtocolError – If an unexpected value is received from the server.

jobs

IBMQBackend.jobs(limit=10, skip=0, 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)

Return the jobs submitted to this backend, subject to optional filtering.

Retrieve jobs submitted to this backend 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. See also the skip parameter for more control over pagination.

Parameters

limit (int) – Number of jobs to retrieve.
skip (int) – Starting index for the job retrieval.
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 (newest first). If False, return in ascending order.
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 jobs that match the criteria.

Raises

IBMQBackendValueError – If a keyword value is not recognized.

name

IBMQBackend.name()

Return the backend name.

Returns

the name of the backend.

Return type

str

properties

IBMQBackend.properties(refresh=False, datetime=None)

Return the backend properties, subject to optional filtering.

This data describes qubits properties (such as T1 and T2), gates properties (such as gate length and error), and other general properties of the backend.

The schema for backend properties can be found in Qiskit/ibm-quantum-schemas.

Parameters

refresh (bool) – If True, re-query the server for the backend properties. Otherwise, return a cached version.
datetime (Optional[datetime]) – By specifying datetime, this function returns an instance of the BackendProperties whose timestamp is closest to, but older than, the specified datetime.

Return type

Optional[BackendProperties]

Returns

The backend properties or None if the backend properties are not currently available.

Raises

TypeError – If an input argument is not of the correct type.

provider

IBMQBackend.provider()

Return the backend Provider.

Returns

the Provider responsible for the backend.

Return type

Provider

remaining_jobs_count

IBMQBackend.remaining_jobs_count()

Return the number of remaining jobs that could be submitted to the backend.

Note

The number of remaining jobs for a backend is provider specific. For example, if you have access to the same backend via different providers, the number of remaining jobs might be different for each. See BackendJobLimit for the job limit information of a backend.

If None is returned, there are no limits to the maximum number of active jobs you could have on the backend.

Return type

Optional[int]

Returns

The remaining number of jobs a user could submit to the backend, with this provider, before the maximum limit on active jobs is reached.

Raises

IBMQBackendApiProtocolError – If an unexpected value is received from the server.

reservations

IBMQBackend.reservations(start_datetime=None, end_datetime=None)

Return backend reservations.

If start_datetime and/or end_datetime is specified, reservations with time slots that overlap with the specified time window will be returned.

Some of the reservation information is only available if you are the owner of the reservation.

Parameters

start_datetime (Optional[datetime]) – Filter by the given start date/time, in local timezone.
end_datetime (Optional[datetime]) – Filter by the given end date/time, in local timezone.

Return type

List[BackendReservation]

Returns

A list of reservations that match the criteria.

retrieve_job

IBMQBackend.retrieve_job(job_id)

Return a single job submitted to this backend.

Parameters

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

Return type

IBMQJob

Returns

The job with the given ID.

Raises

IBMQBackendError – If job retrieval failed.

run

IBMQBackend.run(circuits, job_name=None, job_share_level=None, job_tags=None, experiment_id=None, header=None, shots=None, memory=None, qubit_lo_freq=None, meas_lo_freq=None, schedule_los=None, meas_level=None, meas_return=None, memory_slots=None, memory_slot_size=None, rep_time=None, rep_delay=None, init_qubits=None, parameter_binds=None, use_measure_esp=None, **run_config)

Run on the backend.

If a keyword specified here is also present in the options attribute/object, the value specified here will be used for this run.

Parameters

circuits (Union[QasmQobj, PulseQobj, QuantumCircuit, Schedule, List[Union[QuantumCircuit, Schedule]]]) – An individual or a list of QuantumCircuit or Schedule objects to run on the backend. A QasmQobj or a PulseQobj object is also supported but is deprecated.
job_name (Optional[str]) – Custom name to be assigned to the job. This job name can subsequently be used as a filter in the jobs() method. Job names do not need to be unique.
job_share_level (Optional[str]) –

Allows sharing a job at the hub, group, project, or global level. The possible job share levels are: global, hub, group, project, and none.
- global: The job is public to any user.
- hub: The job is shared between the users in the same hub.
- group: The job is shared between the users in the same group.
- project: The job is shared between the users in the same project.
- none: The job is not shared at any level.
If the job share level is not specified, the job is not shared at any level.
job_tags (Optional[List[str]]) – Tags to be assigned to the job. The tags can subsequently be used as a filter in the jobs() function call.
experiment_id (Optional[str]) – Used to add a job to an “experiment”, which is a collection of jobs and additional metadata.
following arguments are NOT applicable if a Qobj is passed in. (The) –
header (Optional[Dict]) – User input that will be attached to the job and will be copied to the corresponding result header. Headers do not affect the run. This replaces the old Qobj header.
shots (Optional[int]) – Number of repetitions of each circuit, for sampling. Default: 4000 or max_shots from the backend configuration, whichever is smaller.
memory (Optional[bool]) – If True, per-shot measurement bitstrings are returned as well (provided the backend supports it). For OpenPulse jobs, only measurement level 2 supports this option.
qubit_lo_freq (Optional[List[int]]) – List of default qubit LO frequencies in Hz. Will be overridden by schedule_los if set.
meas_lo_freq (Optional[List[int]]) – List of default measurement LO frequencies in Hz. Will be overridden by schedule_los if set.
schedule_los (Union[List[Union[Dict[PulseChannel, float], LoConfig]], Dict[PulseChannel, float], LoConfig, None]) – Experiment LO configurations, frequencies are given in Hz.
meas_level (Union[int, MeasLevel, None]) – Set the appropriate level of the measurement output for pulse experiments.
meas_return (Union[str, MeasReturnType, None]) –

Level of measurement data for the backend to return.

For meas_level 0 and 1:
- single returns information from every shot.
- avg returns average measurement output (averaged over number of shots).
memory_slots (Optional[int]) – Number of classical memory slots to use.
memory_slot_size (Optional[int]) – Size of each memory slot if the output is Level 0.
rep_time (Optional[int]) – Time per program execution in seconds. Must be from the list provided by the backend (backend.configuration().rep_times). Defaults to the first entry.
rep_delay (Optional[float]) – Delay between programs in seconds. Only supported on certain backends (if backend.configuration().dynamic_reprate_enabled=True). If supported, rep_delay will be used instead of rep_time and must be from the range supplied by the backend (backend.configuration().rep_delay_range). Default is given by backend.configuration().default_rep_delay.
init_qubits (Optional[bool]) – Whether to reset the qubits to the ground state for each shot. Default: True.
parameter_binds (Optional[List[Dict[Parameter, float]]]) – List of Parameter bindings over which the set of experiments will be executed. Each list element (bind) should be of the form {Parameter1: value1, Parameter2: value2, …}. All binds will be executed across all experiments; e.g., if parameter_binds is a length-n list, and there are m experiments, a total of m x n experiments will be run (one for each experiment/bind pair).
use_measure_esp (Optional[bool]) – Whether to use excited state promoted (ESP) readout for measurements which are the terminal instruction to a qubit. ESP readout can offer higher fidelity than standard measurement sequences. See here. Default: True if backend supports ESP readout, else False. Backend support for ESP readout is determined by the flag measure_esp_enabled in backend.configuration().
**run_config – Extra arguments used to configure the run.

Return type

IBMQJob

Returns

The job to be executed.

Raises

IBMQBackendApiError – If an unexpected error occurred while submitting the job.
IBMQBackendApiProtocolError – If an unexpected value received from the server.
IBMQBackendValueError –
- If an input parameter value is not valid. - If ESP readout is used and the backend does not support this.

set_options

IBMQBackend.set_options(**fields)

Set the options fields for the backend

This method is used to update the options of a backend. If you need to change any of the options prior to running just pass in the kwarg with the new value for the options.

Parameters

fields – The fields to update the options

Raises

AttributeError – If the field passed in is not part of the options

status

IBMQBackend.status()

Return the backend status.

Note

If the returned BackendStatus instance has operational=True but status_msg="internal", then the backend is accepting jobs but not processing them.

Return type

BackendStatus

Returns

The status of the backend.

Raises

IBMQBackendApiProtocolError – If the status for the backend cannot be formatted properly.

Attributes

id_warning_issued

Default value: False

options

Return the options for the backend

The options of a backend are the dynamic parameters defining how the backend is used. These are used to control the run() method.

qobj_warning_issued

Default value: False

version

Default value: 1

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