Analysis
qiskit_noise_learning.analysis
Data analysis.
Classes
Kolumne „ 1 “ | Kolumne „ 2 “ |
|---|---|
AnalysisPipeline | A composite AnalysisStage that chains stages sequentially. |
AnalysisStage | Abstract base for a stage in the analysis pipeline. |
AverageObservables | Average observables over randomizations for each unbound path and fragment depth pair. |
ComputeObservables | Compute observable data from raw data. |
CurveFitObservables | Fit observable data to exponential decays of the form a * f**fragment_depth, and average any remaining observables over randomizations. |
Fit | Container for data at each level of the analysis hierarchy. |
FlipPostSelect | Apply a mask to raw data based on bit-flip failures across classical registers. |
LeastSquaresSolve | Solves for ModelData by least squares, with optional non-negativity constraints. |
LegacySolve | Solves for the ModelData using the legacy pair-fidelity method. |
LinearSystemData | The linear system to solve and metadata in raw format. |
PositivityMinSolve | Solves for the ModelData while minimizing Pauli-Lindblad rate positivity. |
SymmetrizeFidelities | Project generator rates into the fidelity-symmetry null space, gate by gate. |
SymmetrizeGenerators | Project generator rates to satisfy conjugation symmetry, gate by gate. |
War diese Seite hilfreich?
Melden Sie auf GitHub einen Fehler, einen Tippfehler oder fordern Sie Inhalte an.