---
title: ProgramExecutor (latest version)
description: API reference for qiskit_noise_learning.noise_learner.ProgramExecutor in the latest version of qiskit-noise-learning
source: https://quantum.cloud.ibm.com/docs/en/api/qiskit-noise-learning/generated/noise-learner-program-executor
---

# qiskit\_noise\_learning.noise\_learner.ProgramExecutor

*class* `qiskit_noise_learning.noise_learner.ProgramExecutor(*args, **kwargs)`

[GitHub](https://github.com/Qiskit/qiskit-noise-learning/tree/stable/0.1/qiskit_noise_learning/noise_learner/noise_learner.py)

Bases: [`Protocol`](https://docs.python.org/3/library/typing.html#typing.Protocol)

The executor role that [`NoiseLearner`](/docs/api/qiskit-noise-learning/generated/noise-learner-noise-learner "qiskit_noise_learning.noise_learner.NoiseLearner") submits programs to.

Only [`run()`](#qiskit_noise_learning.noise_learner.ProgramExecutor.run "qiskit_noise_learning.noise_learner.ProgramExecutor.run") is required, so both [`Executor`](/docs/api/qiskit-ibm-runtime/executor "(in Qiskit Runtime IBM Client)") and the Aer executor qualify without either declaring conformance.

> **Note**
>
> This protocol, and the `executor` argument of [`NoiseLearner`](/docs/api/qiskit-noise-learning/generated/noise-learner-noise-learner "qiskit_noise_learning.noise_learner.NoiseLearner") that consumes it, are provisional. They exist so that a learning experiment can be run against a locally simulated executor, and this setup is expected to eventually change.

### \_\_init\_\_

`__init__(*args, **kwargs)`

## Methods

|                                                                                                                                                                |                                 |
| -------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------- |
| [`__init__`](#qiskit_noise_learning.noise_learner.ProgramExecutor.__init__ "qiskit_noise_learning.noise_learner.ProgramExecutor.__init__")(\*args, \*\*kwargs) |                                 |
| [`run`](#qiskit_noise_learning.noise_learner.ProgramExecutor.run "qiskit_noise_learning.noise_learner.ProgramExecutor.run")(program)                           | Submit a program for execution. |

### run

`run(program: QuantumProgram) → ProgramJob`

Submit a program for execution.

**Parameters**

**program** – The quantum program to submit.

**Returns**

A job carrying the program’s result.