NoiseModel.to_dict¶

NoiseModel.to_dict()[source]¶

Create a JSON serializable representation of the noise model.

For example:

{
    "gates": [
        # list of embedded dictionary representations of KrausModels here [...]
    ]
    "assignment_probs": {
        "0": [[.8, .1],
              [.2, .9]],
        "1": [[.9, .4],
              [.1, .6]],
    }
}

Return type: Dict[str, Any]
Returns: A dictionary representation of self.