Optimize1qGatesSimpleCommutation

class qiskit.transpiler.passes.Optimize1qGatesSimpleCommutation(*args, **kwargs)[source]

Bases: TransformationPass

Optimizes 1Q gate strings interrupted by 2Q gates by commuting the components and resynthesizing the results. The commutation rules are stored in commutation_table.

NOTE: In addition to those mentioned in commutation_table, this pass has some limitations:

  • Does not handle multiple commutations in a row without intermediate progress.

  • Can only commute into positions where there are pre-existing runs.

  • Does not exhaustively test all the different ways commuting gates can be assigned to either side of a barrier to try to find low-depth configurations. (This is particularly evident if all the gates in a run commute with both the predecessor and the successor barriers.)

Parameters:

  • basis (List[str]) – See also Optimize1qGatesDecomposition.

  • run_to_completion (bool) – If True, this pass retries until it is unable to do any more work. If False, it finds and performs one optimization, and for full optimization the user is obligated to re-call the pass until the output stabilizes.

  • target (Target) – The Target representing the target backend, if both basis and this are specified then this argument will take precedence and basis will be ignored.

Attributes

is_analysis_pass

Check if the pass is an analysis pass.

If the pass is an AnalysisPass, that means that the pass can analyze the DAG and write the results of that analysis in the property set. Modifications on the DAG are not allowed by this kind of pass.

is_transformation_pass

Check if the pass is a transformation pass.

If the pass is a TransformationPass, that means that the pass can manipulate the DAG, but cannot modify the property set (but it can be read).

Methods

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]

name()

Name of the pass.

Return type:

str

run(dag)[source]
Parameters:

dag (DAGCircuit) – the DAG to be optimized.

Returns:

the optimized DAG.

Return type:

DAGCircuit

update_status(state, run_state)

Update workflow status.

Parameters:

  • state (PassManagerState) – Pass manager state to update.

  • run_state (RunState) – Completion status of current task.

Returns:

Updated pass manager state.

Return type:

PassManagerState