---
title: NoiseLearnerV3ResultModel (dev version)
description: API reference for ibm_quantum_schemas.noise_learner_v3.version_0_1.NoiseLearnerV3ResultModel in the dev version of qiskit-ibm-runtime
source: https://quantum.cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-noise-learner-v3-version-0-1-noise-learner-v3-result-model
---

# NoiseLearnerV3ResultModel

*pydantic model* `NoiseLearnerV3ResultModel`

[GitHub](https://github.com/Qiskit/ibm-quantum-schemas/tree/0.11.20260824/ibm_quantum_schemas/noise_learner_v3/version_0_1/models.py#L107-L125)

Bases: `BaseModel`

Results for a single noise learner V3 item.

### generators\_sparse

*field*

Type: `list`\[`list`\[`tuple`\[`str`, `list`\[`int`]]]]

A representation of the generators in sparse format.

### metadata

*field*

Type: [`TREXResultMetadataModel`](/docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-noise-learner-v3-version-0-1-trex-result-metadata-model "ibm_quantum_schemas.noise_learner_v3.version_0_1.models.TREXResultMetadataModel") | [`LinbdbladResultMetadataModel`](/docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-noise-learner-v3-version-0-1-linbdblad-result-metadata-model "ibm_quantum_schemas.noise_learner_v3.version_0_1.models.LinbdbladResultMetadataModel")

Execution metadata pertaining to a single result.

### num\_qubits

*field*

Type: `int`

The number of qubits that the generators act on.

### rates

*field*

Type: [`F64TensorModel`](/docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-f-64-tensor-model "ibm_quantum_schemas.common.tensor.F64TensorModel")

The rates of the individual generators.

### rates\_std

*field*

Type: [`F64TensorModel`](/docs/api/qiskit-ibm-runtime/dev/ibm-quantum-schemas-common-f-64-tensor-model "ibm_quantum_schemas.common.tensor.F64TensorModel")

The standard deviation associated to the rates of the generators.