PadDelay

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

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.