AQTOptions#

pydantic model qiskit_aqt_provider.aqt_options.AQTOptions[source]#

Bases: BaseModel, Mapping[str, Any]

Options for AQT resources.

This is a typed drop-in replacement for qiskit.providers.Options.

Options can be set on a backend globally or on a per-job basis. To update an option globally, set the corresponding attribute in the backend’s options attribute:

>>> import qiskit
>>> from qiskit_aqt_provider import AQTProvider
>>>
>>> backend = AQTProvider("").get_backend("offline_simulator_no_noise")
>>>
>>> qc = qiskit.QuantumCircuit(1)
>>> _ = qc.rx(3.14, 0)
>>> _ = qc.measure_all()
>>> qc = qiskit.transpile(qc, backend)
>>>
>>> backend.options.shots = 50
>>> result = backend.run(qc).result()
>>> sum(result.get_counts().values())
50

Option overrides can also be applied on a per-job basis, as keyword arguments to AQTResource.run:

>>> backend.options.shots
50
>>> result = backend.run(qc, shots=100).result()
>>> sum(result.get_counts().values())
100
Config:

  • extra: str = forbid

  • validate_assignment: bool = True

field shots: int = 100#

Number of repetitions per circuit.

Constraints:

  • ge = 1

  • le = 200

field memory: bool = False#

Whether to return the sequence of memory states (readout) for each shot.

See qiskit.result.Result.get_memory() for details.

field query_period_seconds: float = 1.0#

Elapsed time between queries to the cloud portal when waiting for results, in seconds.

Constraints:

  • ge = 0.1

field query_timeout_seconds: float | None = None#

Maximum time to wait for results of a single job, in seconds.

field with_progress_bar: bool = True#

Whether to display a progress bar when waiting for results from a single job.

When enabled, the progress bar is written to sys.stderr.