---
title: OptimizeCliffordT (v2.4)
description: API reference for qiskit.transpiler.passes.OptimizeCliffordT in qiskit v2.4
source: https://eu-de.quantum.cloud.ibm.com/docs/en/api/qiskit/2.4/qiskit.transpiler.passes.OptimizeCliffordT
---

# OptimizeCliffordT

*class* `qiskit.transpiler.passes.OptimizeCliffordT(*args, **kwargs)`

[GitHub](https://github.com/Qiskit/qiskit/tree/stable/2.4/qiskit/transpiler/passes/optimization/optimize_clifford_t.py#L33-L77)

Bases: [`TransformationPass`](/docs/api/qiskit/2.4/qiskit.transpiler.TransformationPass "qiskit.transpiler.basepasses.TransformationPass")

Optimize sequences of consecutive Clifford+T gates.

This pass rewrites maximal chains of consecutive single-qubit Clifford+T gates, reducing each chain to an equivalent sequence that uses the minimum possible number of T gates.

For a chain of length $m$, the pass runs in linear time, $O(m)$.

## 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](https://github.com/Qiskit/qiskit/tree/stable/2.4/qiskit/transpiler/basepasses.py#L161-L180)

Execute optimization task for input Qiskit IR.

**Parameters**

- **passmanager\_ir** ([*Any*](https://docs.python.org/3/library/typing.html#typing.Any)) – Qiskit IR to optimize.
- **state** ([*PassManagerState*](/docs/api/qiskit/2.4/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) *| None*) – A callback function which is called 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)\[[*Any*](https://docs.python.org/3/library/typing.html#typing.Any), [*PassManagerState*](/docs/api/qiskit/2.4/qiskit.passmanager.PassManagerState "qiskit.passmanager.compilation_status.PassManagerState")]

### name

`name()`

[GitHub](https://github.com/Qiskit/qiskit/tree/stable/2.4/qiskit/passmanager/base_tasks.py#L67-L69)

Name of the pass.

**Return type**

[str](https://docs.python.org/3/library/stdtypes.html#str)

### run

`run(dag)`

[GitHub](https://github.com/Qiskit/qiskit/tree/stable/2.4/qiskit/transpiler/passes/optimization/optimize_clifford_t.py#L65-L77)

Run the OptimizeCliffordT pass on dag.

**Parameters**

**dag** ([*DAGCircuit*](/docs/api/qiskit/2.4/qiskit.dagcircuit.DAGCircuit "qiskit._accelerate.circuit.DAGCircuit")) – The directed acyclic graph to run on.

**Returns**

Transformed DAG.

**Return type**

[DAGCircuit](/docs/api/qiskit/2.4/qiskit.dagcircuit.DAGCircuit "qiskit.dagcircuit.DAGCircuit")

### update\_status

`update_status(state, run_state)`

[GitHub](https://github.com/Qiskit/qiskit/tree/stable/2.4/qiskit/transpiler/basepasses.py#L182-L190)

Update workflow status.

**Parameters**

- **state** ([*PassManagerState*](/docs/api/qiskit/2.4/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*](/docs/api/qiskit/2.4/qiskit.passmanager.PassManagerState "qiskit.passmanager.compilation_status.PassManagerState")