111 lines
5.4 KiB
Plaintext
111 lines
5.4 KiB
Plaintext
---
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title: CollectLinearFunctions (latest version)
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description: API reference for qiskit_ibm_transpiler.ai.CollectLinearFunctions in the latest version of qiskit-ibm-transpiler
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in_page_toc_min_heading_level: 1
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python_api_type: class
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python_api_name: qiskit_ibm_transpiler.ai.CollectLinearFunctions
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---
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# CollectLinearFunctions
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<Class id="qiskit_ibm_transpiler.ai.CollectLinearFunctions" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit-ibm-transpiler/tree/stable/0.10/qiskit_ibm_transpiler/ai/collection.py#L300-L337" signature="qiskit_ibm_transpiler.ai.CollectLinearFunctions(do_commutative_analysis: bool = True, min_block_size: int = 4, max_block_size: int = LINEAR_MAX_BLOCK_SIZE, collect_from_back: bool = False, num_reps: int = 10)" modifiers="class">
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Bases: `RepeatedCollectAndCollapse`
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Collects blocks of SWAP and CX as LinearFunction objects and stores the original sub-circuit to compare against it after synthesis.
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**Parameters**
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* **do\_commutative\_analysis** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.13)")) – Enable or disable commutative analysis, defaults to True
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* **min\_block\_size** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.13)")*, optional*) – Set the minimum size for blocks generated during the collect linear functions pass, defaults to 4.
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* **max\_block\_size** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.13)")*, optional*) – Set the maximum size for blocks generated during the collect linear functions pass, defaults to 9.
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* **collect\_from\_back** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.13)")*, optional*) – Specify if collect blocks in reverse order or not, defaults to False.
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* **num\_reps** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.13)")*, optional*) – Specify how many times to repeat the optimization process, defaults to 10.
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* **collect\_function** (*callable*) – a function that takes a DAG and returns a list of “collected” blocks of nodes
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* **collapse\_function** (*callable*) – a function that takes a DAG and a list of “collected” blocks, and consolidates each block.
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* **do\_commutative\_analysis** – if True, exploits commutativity relations between nodes.
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## Attributes
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### is\_analysis\_pass
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<Attribute id="qiskit_ibm_transpiler.ai.CollectLinearFunctions.is_analysis_pass">
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Check if the pass is an analysis pass.
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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.
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</Attribute>
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### is\_transformation\_pass
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<Attribute id="qiskit_ibm_transpiler.ai.CollectLinearFunctions.is_transformation_pass">
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Check if the pass is a transformation pass.
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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).
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</Attribute>
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## Methods
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### execute
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<Function id="qiskit_ibm_transpiler.ai.CollectLinearFunctions.execute" signature="execute(passmanager_ir, state, callback=None)">
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Execute optimization task for input Qiskit IR.
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**Parameters**
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* **passmanager\_ir** ([*Any*](https://docs.python.org/3/library/typing.html#typing.Any "(in Python v3.13)")) – Qiskit IR to optimize.
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* **state** ([*PassManagerState*](/api/qiskit/qiskit.passmanager.PassManagerState "(in Qiskit v1.3)")) – State associated with workflow execution by the pass manager itself.
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* **callback** ([*Callable*](https://docs.python.org/3/library/collections.abc.html#collections.abc.Callable "(in Python v3.13)")) – A callback function which is caller per execution of optimization task.
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**Returns**
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Optimized Qiskit IR and state of the workflow.
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**Return type**
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[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)"), [*PassManagerState*](/api/qiskit/qiskit.passmanager.PassManagerState "(in Qiskit v1.3)")]
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</Function>
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### name
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<Function id="qiskit_ibm_transpiler.ai.CollectLinearFunctions.name" signature="name()">
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Name of the pass.
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**Return type**
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[str](https://docs.python.org/3/library/stdtypes.html#str "(in Python v3.13)")
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</Function>
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### run
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<Function id="qiskit_ibm_transpiler.ai.CollectLinearFunctions.run" github="https://github.com/Qiskit/qiskit-ibm-transpiler/tree/stable/0.10/qiskit_ibm_transpiler/ai/collection.py#L233-L257" signature="run(dag)">
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Run the CollectLinearFunctions pass on dag. :param dag: the DAG to be optimized. :type dag: DAGCircuit
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**Returns**
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the optimized DAG.
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**Return type**
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DAGCircuit
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</Function>
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### update\_status
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<Function id="qiskit_ibm_transpiler.ai.CollectLinearFunctions.update_status" signature="update_status(state, run_state)">
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Update workflow status.
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**Parameters**
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* **state** ([*PassManagerState*](/api/qiskit/qiskit.passmanager.PassManagerState "(in Qiskit v1.3)")) – Pass manager state to update.
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* **run\_state** (*RunState*) – Completion status of current task.
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**Returns**
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Updated pass manager state.
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**Return type**
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[*PassManagerState*](/api/qiskit/qiskit.passmanager.PassManagerState "(in Qiskit v1.3)")
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</Function>
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</Class>
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