qat.pipelines.legacy.base.execute module

class LegacyExecutePipeline(config, model=None, loader=None, target_data=None, engine=None)

Bases: UpdateablePipeline

A pipeline that executes programs using the legacy backend.

Warning

This pipeline is for execution purposes only and does not compile programs. Please select an appropriate compilation pipeline if you wish to compile programs before execution.

Parameters:

• config (PipelineConfig) – The pipeline configuration with the name of the pipeline, and any additional parameters that can be configured in the pipeline.

• model (Union[None, QuantumHardwareModel, PhysicalHardwareModel]) – The hardware model to feed into the pipeline. Defaults to None.

• loader (Optional[BaseModelLoader]) – The hardware loader used to load the hardware model which can be used to later refresh the hardware model. Defaults to None.

• target_data (Optional[TargetData]) – The data concerning the target device, defaults to None

• engine (Optional[NativeEngine]) – The engine to use for the pipeline, defaults to None.

Raises:

ValueError – If neither model nor loader is provided.

class LegacyPipelineConfig(**data)

Bases: PipelineConfig

Configuration for the LegacyPipeline, extending PipelineConfig with configurable connection modes.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

connection_mode: ConnectionMode

model_config: ClassVar[ConfigDict] = {}

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

name: str

results_pipeline(model)

Return type:

PassManager