qiskit.providers.aer.utils.approximate_noise_model
approximate_noise_model(model, *, operator_string=None, operator_dict=None, operator_list=None)
Replace all noises in a noise model with ones approximated by a mixture of operators (channels).
Parameters
- model (NoiseModel) – the noise model to be approximated. All noises in the model must be 1- or 2-qubit noises.
- operator_string (string) – a name for a pre-made set of building blocks for the output channel (Default: None). Possible values are
'pauli','reset','clifford'. - operator_dict (dict) – a dictionary whose values are the building blocks for the output channel (Default: None). E.g. {“x”: XGate(), “y”: YGate()}, keys “x” and “y” are not used in transformation.
- operator_list (list) – list of building block operators for the output channel (Default: None). E.g. [XGate(), YGate()]
Returns
the approximate noise model.
Return type
Raises
- NoiseError – if any invalid argument is specified or approximation failed.
- MissingOptionalLibraryError – if cvxpy is not installed.
Note
The operator input precedence is: list < dict < string. If a string is given, dict is overwritten; if a dict is given, list is overwritten. The string supports only 1- or 2-qubit errors and its possible values are 'pauli', 'reset', 'clifford'. The 'clifford' does not support 2-qubit errors.
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