Skip to main contentIBM Quantum Documentation

PadDelay

class qiskit.transpiler.passes.PadDelay(*args, **kwargs)

GitHub

Bases: BasePadding

Padding idle time with Delay instructions.

Consecutive delays will be merged in the output of this pass.

from qiskit import QuantumCircuit
from qiskit.transpiler import InstructionDurations
 
durations = InstructionDurations([("x", None, 160), ("cx", None, 800)])
 
qc = QuantumCircuit(2)
qc.delay(100, 0)
qc.x(1)
qc.cx(0, 1)

The ASAP-scheduled circuit output may become

     ┌────────────────┐
q_0: ┤ Delay(160[dt]) ├──■──
     └─────┬───┬──────┘┌─┴─┐
q_1: ──────┤ X ├───────┤ X ├
           └───┘       └───┘

Note that the additional idle time of 60dt on the q_0 wire coming from the duration difference between Delay of 100dt (q_0) and XGate of 160 dt (q_1) is absorbed in the delay instruction on the q_0 wire, i.e. in total 160 dt.

See BasePadding pass for details.

Create new padding delay pass.

Parameters

  • fill_very_end – Set True to fill the end of circuit with delay.
  • target – The Target representing the target backend. If it is supplied and does not support delay instruction on a qubit, padding passes do not pad any idle time of the qubit.

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)

GitHub

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()

GitHub

Name of the pass.

Return type

str

run

run(dag)

GitHub

Run the padding pass on dag.

Parameters

dag (DAGCircuit) – DAG to be checked.

Returns

DAG with idle time filled with instructions.

Return type

DAGCircuit

Raises

TranspilerError – When a particular node is not scheduled, likely some transform pass is inserted before this node is called.

update_status

update_status(state, run_state)

GitHub

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

Was this page helpful?
Report a bug or request content on GitHub.