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---
title: ASAPScheduleAnalysis (v1.2)
description: API reference for qiskit.transpiler.passes.ASAPScheduleAnalysis in qiskit v1.2
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.transpiler.passes.ASAPScheduleAnalysis
---
# ASAPScheduleAnalysis
<Class id="qiskit.transpiler.passes.ASAPScheduleAnalysis" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/transpiler/passes/scheduling/scheduling/asap.py#L20-L131" signature="qiskit.transpiler.passes.ASAPScheduleAnalysis(*args, **kwargs)" modifiers="class">
Bases: `BaseScheduler`
ASAP Scheduling pass, which schedules the start time of instructions as early as possible.
See the [Scheduling Stage](transpiler#scheduling-stage) section in the [`qiskit.transpiler`](transpiler#module-qiskit.transpiler "qiskit.transpiler") module documentation for the detailed behavior of the control flow operation, i.e. `c_if`.
Scheduler initializer.
**Parameters**
* **durations** Durations of instructions to be used in scheduling
* **target** The [`Target`](qiskit.transpiler.Target "qiskit.transpiler.Target") representing the target backend, if both `durations` and this are specified then this argument will take precedence and `durations` will be ignored.
## Attributes
### CONDITIONAL\_SUPPORTED
<Attribute id="qiskit.transpiler.passes.ASAPScheduleAnalysis.CONDITIONAL_SUPPORTED" attributeValue="(<class 'qiskit.circuit.gate.Gate'>, <class 'qiskit.circuit.delay.Delay'>)" />
### is\_analysis\_pass
<Attribute id="qiskit.transpiler.passes.ASAPScheduleAnalysis.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.
</Attribute>
### is\_transformation\_pass
<Attribute id="qiskit.transpiler.passes.ASAPScheduleAnalysis.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).
</Attribute>
## Methods
### execute
<Function id="qiskit.transpiler.passes.ASAPScheduleAnalysis.execute" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/passmanager/base_tasks.py#L72-L118" signature="execute(passmanager_ir, state, callback=None)">
Execute optimization task for input Qiskit IR.
**Parameters**
* **passmanager\_ir** ([*Any*](https://docs.python.org/3/library/typing.html#typing.Any "(in Python v3.13)")) Qiskit IR to optimize.
* **state** ([*PassManagerState*](qiskit.passmanager.PassManagerState "qiskit.passmanager.compilation_status.PassManagerState")) State associated with workflow execution by the pass manager itself.
* **callback** ([*Callable*](https://docs.python.org/3/library/collections.abc.html#collections.abc.Callable "(in Python v3.13)") *| None*) A callback function which is caller per execution of optimization task.
**Returns**
Optimized Qiskit IR and state of the workflow.
**Return type**
[tuple](https://docs.python.org/3/library/stdtypes.html#tuple "(in Python v3.13)")\[[*Any*](https://docs.python.org/3/library/typing.html#typing.Any "(in Python v3.13)"), [qiskit.passmanager.compilation\_status.PassManagerState](qiskit.passmanager.PassManagerState "qiskit.passmanager.compilation_status.PassManagerState")]
</Function>
### name
<Function id="qiskit.transpiler.passes.ASAPScheduleAnalysis.name" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/passmanager/base_tasks.py#L68-L70" signature="name()">
Name of the pass.
**Return type**
[str](https://docs.python.org/3/library/stdtypes.html#str "(in Python v3.13)")
</Function>
### run
<Function id="qiskit.transpiler.passes.ASAPScheduleAnalysis.run" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/transpiler/passes/scheduling/scheduling/asap.py#L28-L131" signature="run(dag)">
Run the ASAPSchedule pass on dag.
**Parameters**
**dag** ([*DAGCircuit*](qiskit.dagcircuit.DAGCircuit "qiskit.dagcircuit.DAGCircuit")) DAG to schedule.
**Returns**
A scheduled DAG.
**Return type**
[DAGCircuit](qiskit.dagcircuit.DAGCircuit "qiskit.dagcircuit.DAGCircuit")
**Raises**
* [**TranspilerError**](transpiler#qiskit.transpiler.TranspilerError "qiskit.transpiler.TranspilerError") if the circuit is not mapped on physical qubits.
* [**TranspilerError**](transpiler#qiskit.transpiler.TranspilerError "qiskit.transpiler.TranspilerError") if conditional bit is added to non-supported instruction.
</Function>
### update\_status
<Function id="qiskit.transpiler.passes.ASAPScheduleAnalysis.update_status" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/passmanager/base_tasks.py#L120-L138" signature="update_status(state, run_state)">
Update workflow status.
**Parameters**
* **state** ([*PassManagerState*](qiskit.passmanager.PassManagerState "qiskit.passmanager.compilation_status.PassManagerState")) Pass manager state to update.
* **run\_state** (*RunState*) Completion status of current task.
**Returns**
Updated pass manager state.
**Return type**
[*PassManagerState*](qiskit.passmanager.PassManagerState "qiskit.passmanager.compilation_status.PassManagerState")
</Function>
</Class>