qiskit_noise_learning.analysis.LegacySolve
class qiskit_noise_learning.analysis.LegacySolve
Bases: AnalysisStage
Solves for the ModelData using the legacy pair-fidelity method.
This solver assumes that the gate set only has a single unitary gate, and that the paths are of a vanilla-learning type (i.e. even depth with no single-qubit Cliffords required).
Delegates to fit_noise_model_legacy() with noise_assumption="symmetric_fidelities", optimizer_name="nnls", and constrained=True.
__init__
__init__()
Methods
Column 1 | Column 2 |
|---|---|
__init__() | |
run(fit) | Run this stage, returning a new Fit with the output level populated. |
input_level
alias of AggregatedObservableData
output_level
alias of ModelData
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