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---
title: CollectCliffords (v1.2)
description: API reference for qiskit.transpiler.passes.CollectCliffords in qiskit v1.2
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.transpiler.passes.CollectCliffords
---
# CollectCliffords
<Class id="qiskit.transpiler.passes.CollectCliffords" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/transpiler/passes/optimization/collect_cliffords.py#L28-L70" signature="qiskit.transpiler.passes.CollectCliffords(*args, **kwargs)" modifiers="class">
Bases: [`CollectAndCollapse`](qiskit.transpiler.passes.CollectAndCollapse "qiskit.transpiler.passes.optimization.collect_and_collapse.CollectAndCollapse")
Collects blocks of Clifford gates and replaces them by a [`Clifford`](qiskit.quantum_info.Clifford "qiskit.quantum_info.Clifford") object.
CollectCliffords initializer.
**Parameters**
* **do\_commutative\_analysis** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.13)")) if True, exploits commutativity relations between nodes.
* **split\_blocks** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.13)")) if True, splits collected blocks into sub-blocks over disjoint qubit subsets.
* **min\_block\_size** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.13)")) specifies the minimum number of gates in the block for the block to be collected.
* **split\_layers** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.13)")) if True, splits collected blocks into sub-blocks over disjoint qubit subsets.
* **collect\_from\_back** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.13)")) specifies if blocks should be collected started from the end of the circuit.
## Attributes
### is\_analysis\_pass
<Attribute id="qiskit.transpiler.passes.CollectCliffords.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.CollectCliffords.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.CollectCliffords.execute" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/transpiler/basepasses.py#L189-L211" 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.CollectCliffords.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.CollectCliffords.run" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/transpiler/passes/optimization/collect_and_collapse.py#L65-L88" signature="run(dag)">
Run the CollectLinearFunctions pass on dag. :param dag: the DAG to be optimized. :type dag: DAGCircuit
**Returns**
the optimized DAG.
**Return type**
[DAGCircuit](qiskit.dagcircuit.DAGCircuit "qiskit.dagcircuit.DAGCircuit")
</Function>
### update\_status
<Function id="qiskit.transpiler.passes.CollectCliffords.update_status" github="https://github.com/Qiskit/qiskit/tree/stable/1.2/qiskit/transpiler/basepasses.py#L213-L221" 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>