FlowControllerLinear
class qiskit.passmanager.FlowControllerLinear(tasks=(), *, options=None)
Bases: BaseController
A standard flow controller that runs tasks one after the other.
Create new flow controller.
Parameters
options (dict[str, Any] | None) – Option for this flow controller.
Attributes
passes
Alias of tasks for backward compatibility.
Methods
append
append(passes)
Add new task to pipeline.
The method qiskit.passmanager.flow_controllers.FlowControllerLinear.append() is deprecated as of qiskit 0.45.0. It will be removed no earlier than 3 months after the release date. All tasks must be provided at construction time of the controller object.
Parameters
passes (Task | list[Task]) – A new task or list of tasks to add.
execute
execute(passmanager_ir, state, callback=None)
Execute optimization task for input Qiskit IR.
Parameters
- passmanager_ir (Any) – Qiskit IR to optimize.
- state (PassManagerState) – State associated with workflow execution by the pass manager itself.
- callback (Callable | None) – A callback function which is caller per execution of optimization task.
Returns
Optimized Qiskit IR and state of the workflow.
Return type
tuple[Any, qiskit.passmanager.compilation_status.PassManagerState]
iter_tasks
iter_tasks(state)
A custom logic to choose a next task to run.
Controller subclass can consume the state to build a proper task pipeline. The updated state after a task execution will be fed back in as the “return” value of any yield statements. This indicates the order of task execution is only determined at running time. This method is not allowed to mutate the given state object.
Parameters
- state (PassManagerState) – The state of the passmanager workflow at the beginning of this flow controller’s execution.
- state – the state of pass manager after the execution of the last task that was yielded. The generator does not need to inspect this if it is irrelevant to its logic, nor update it.
Yields
Task – Next task to run.
Return type
Generator[Task, PassManagerState, None]