iqm.iqm_client.models.DynamicQuantumArchitecture

class iqm.iqm_client.models.DynamicQuantumArchitecture(*, calibration_set_id: UUID, qubits: list[str], computational_resonators: list[str], gates: dict[str, GateInfo])

Bases: BaseModel

Dynamic quantum architecture as returned by server.

The dynamic quantum architecture (DQA) describes gates/operations for which calibration data exists in the calibration set.

Attributes

components	Returns all locus components (qubits and computational resonators) sorted.
model_computed_fields	A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_fields	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.
calibration_set_id	id of the calibration set from which this DQA was generated
qubits	qubits that appear in at least one gate locus in the calibration set
computational_resonators	computational resonators that appear in at least one gate locus in the calibration set
gates	mapping of gate names to information about the gates

Methods

Parameters:

• calibration_set_id (UUID) –

• qubits (list[str]) –

• computational_resonators (list[str]) –

• gates (dict[str, GateInfo]) –

calibration_set_id: UUID

id of the calibration set from which this DQA was generated

qubits: list[str]

qubits that appear in at least one gate locus in the calibration set

computational_resonators: list[str]

computational resonators that appear in at least one gate locus in the calibration set

gates: dict[str, GateInfo]

mapping of gate names to information about the gates

property components: tuple[str, ...]

Returns all locus components (qubits and computational resonators) sorted.

The components are first sorted alphabetically based on their non-numeric part, and then components with the same non-numeric part are sorted numerically. An example of components sorted this way would be: (‘COMPR1’, ‘COMPR2’, ‘QB1’, ‘QB2’, ‘QB3’, ‘QB10’, ‘QB11’, ‘QB20’).

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[Dict[str, FieldInfo]] = {'calibration_set_id': FieldInfo(annotation=UUID, required=True), 'computational_resonators': FieldInfo(annotation=list[str], required=True), 'gates': FieldInfo(annotation=dict[str, GateInfo], required=True), 'qubits': FieldInfo(annotation=list[str], required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.

This replaces Model.__fields__ from Pydantic V1.