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---
title: AIPermutationSynthesis (v0.6)
description: API reference for qiskit_ibm_transpiler.ai.AIPermutationSynthesis in qiskit-ibm-transpiler v0.6
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit_ibm_transpiler.ai.AIPermutationSynthesis
---
# AIPermutationSynthesis
<Class id="qiskit_ibm_transpiler.ai.AIPermutationSynthesis" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit-ibm-transpiler/tree/stable/0.6/qiskit_ibm_transpiler/ai/synthesis.py#L219-L255" signature="qiskit_ibm_transpiler.ai.AIPermutationSynthesis(backend_name: str, replace_only_if_better: bool = True, max_threads: int | None = None)" modifiers="class">
Bases: `AISynthesis`
Synthesis for Permutation circuits (blocks of SWAP gates). Currently available for 65, 33, and 27 qubit blocks.
**Parameters**
* **backend\_name** ([*str*](https://docs.python.org/3/library/stdtypes.html#str "(in Python v3.12)")) Name of the backend used for doing the AI Linear Function synthesis.
* **replace\_only\_if\_better** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.12)")*, optional*) Determine if replace the original circuit with the synthesized one if its better, defaults to True.
* **max\_threads** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.12)")*, optional*) Set the number of requests to send in parallel.
## Methods
### execute
<Function id="qiskit_ibm_transpiler.ai.AIPermutationSynthesis.execute" 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 v3.12)")) Qiskit IR to optimize.
* **state** ([*PassManagerState*](/api/qiskit/qiskit.passmanager.PassManagerState "(in Qiskit v1.2)")) 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 v3.12)")) 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 v3.12)")\[[*Any*](https://docs.python.org/3/library/typing.html#typing.Any "(in Python v3.12)"), [*PassManagerState*](/api/qiskit/qiskit.passmanager.PassManagerState "(in Qiskit v1.2)")]
</Function>
### name
<Function id="qiskit_ibm_transpiler.ai.AIPermutationSynthesis.name" signature="name()">
Name of the pass.
**Return type**
[str](https://docs.python.org/3/library/stdtypes.html#str "(in Python v3.12)")
</Function>
### run
<Function id="qiskit_ibm_transpiler.ai.AIPermutationSynthesis.run" github="https://github.com/Qiskit/qiskit-ibm-transpiler/tree/stable/0.6/qiskit_ibm_transpiler/ai/synthesis.py#L111-L128" signature="run(dag)">
Run a pass on the DAGCircuit. This is implemented by the pass developer.
**Parameters**
**dag** ([*DAGCircuit*](/api/qiskit/qiskit.dagcircuit.DAGCircuit "(in Qiskit v1.2)")) the dag on which the pass is run.
**Raises**
[**NotImplementedError**](https://docs.python.org/3/library/exceptions.html#NotImplementedError "(in Python v3.12)") when this is left unimplemented for a pass.
</Function>
### synth\_nodes
<Function id="qiskit_ibm_transpiler.ai.AIPermutationSynthesis.synth_nodes" github="https://github.com/Qiskit/qiskit-ibm-transpiler/tree/stable/0.6/qiskit_ibm_transpiler/ai/synthesis.py#L69-L109" signature="synth_nodes(nodes)" />
### update\_status
<Function id="qiskit_ibm_transpiler.ai.AIPermutationSynthesis.update_status" signature="update_status(state, run_state)">
Update workflow status.
**Parameters**
* **state** ([*PassManagerState*](/api/qiskit/qiskit.passmanager.PassManagerState "(in Qiskit v1.2)")) Pass manager state to update.
* **run\_state** (*RunState*) Completion status of current task.
**Returns**
Updated pass manager state.
**Return type**
[*PassManagerState*](/api/qiskit/qiskit.passmanager.PassManagerState "(in Qiskit v1.2)")
</Function>
</Class>