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analysis

tergite_autocalibration.lib.nodes.characterization.randomized_benchmarking.analysis

Classes:

Name Description
RandomizedBenchmarkingSSROQubitAnalysis

Analysis that fits an exponential decay function to randomized benchmarking data.

RandomizedBenchmarkingSSROQubitAnalysis 

RandomizedBenchmarkingSSROQubitAnalysis(name, redis_fields)

Bases: BaseQubitAnalysis

Analysis that fits an exponential decay function to randomized benchmarking data.

Methods:

Name Description
plot

Plot the fitted values from the analysis
process_qubit

Setup the qubit data and analyze it.

plot 

plot(primary_axis)

Plot the fitted values from the analysis Args: primary_axis: The axis object from matplotlib to be plotted Returns: None, will just plot the fitted values

process_qubit 

process_qubit(dataset, qubit_element) -> QOI

Setup the qubit data and analyze it. Args: dataset: xarray dataset with the qubit data qubit_element: name of the qubit element Returns: QOI: Quantity of interest as QOI wrapped object