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Optimize1qGatesDecomposition

qiskit.transpiler.passes.Optimize1qGatesDecomposition(*args, **kwargs) GitHub(opens in a new tab)

Bases: TransformationPass

Optimize chains of single-qubit gates by combining them into a single gate.

The decision to replace the original chain with a new re-synthesis depends on:

  • whether the original chain was out of basis: replace
  • whether the original chain was in basis but re-synthesis is lower error: replace
  • whether the original chain contains a pulse gate: do not replace
  • whether the original chain amounts to identity: replace with null

Error is computed as a multiplication of the errors of individual gates on that qubit.

Optimize1qGatesDecomposition initializer.

Parameters

  • basis (list(opens in a new tab)[str(opens in a new tab)]) – Basis gates to consider, e.g. [‘u3’, ‘cx’]. For the effects of this pass, the basis is the set intersection between the basis parameter and the Euler basis. Ignored if target is also specified.
  • target (Optional[Target]) – The Target object corresponding to the compilation target. When specified, any argument specified for basis_gates is 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

execute(passmanager_ir, state, callback=None)

Execute optimization task for input Qiskit IR.

Parameters

Returns

Optimized Qiskit IR and state of the workflow.

Return type

tuple(opens in a new tab)[Any(opens in a new tab), qiskit.passmanager.compilation_status.PassManagerState]

name

name()

Name of the pass.

Return type

str(opens in a new tab)

run

run(dag)

Run the Optimize1qGatesDecomposition pass on dag.

Parameters

dag (DAGCircuit) – the DAG to be optimized.

Returns

the optimized DAG.

Return type

DAGCircuit

update_status

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

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