---
title: inline_samplexes (latest version)
description: API reference for qiskit_noise_learning.aer_executor.inline_samplexes in the latest version of qiskit-noise-learning
source: https://quantum.cloud.ibm.com/docs/en/api/qiskit-noise-learning/generated/aer-executor-inline-samplexes
---

# qiskit\_noise\_learning.aer\_executor.inline\_samplexes

`qiskit_noise_learning.aer_executor.inline_samplexes(program: QuantumProgram, omit: list[int] | None = None, rng: Generator | None = None) → QuantumProgram`

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

Return a new `QuantumProgram` with `SamplexItem`s resolved in-place.

Each `SamplexItem` whose index is not in `omit` is replaced by a `CircuitItem` via `inline_samplex_item()`. The passthrough data produced by sampling (e.g. `measurement_flips.*` arrays) is stored in the returned program’s `passthrough_data` under the key `"inlined"`, keyed by the original item index (as a string). Any existing `passthrough_data` on the input program is preserved alongside the new `"inlined"` entry.

**Parameters**

- **program** – The quantum program to process.
- **omit** – Indices of items to leave as `SamplexItem`s. All other `SamplexItem`s are inlined. `CircuitItem`s are always left unchanged regardless of this list.
- **rng** – Random number generator passed to `inline_samplex_item()`. If `None`, `np.random.default_rng()` is used.

**Returns**

A new `QuantumProgram` with the same shots, noise maps, and measurement level as the input, but with the selected `SamplexItem`s replaced by `CircuitItem`s.