Note
This is the documentation for the current state of the development branch of Qiskit Experiments. The documentation or APIs here can change prior to being released.
Curve Analysis (qiskit_experiments.curve_analysis
)¶
Curve analysis provides the analysis base class for a variety of experiments with a single experimental parameter sweep. This analysis subclasses can override several class attributes to customize the behavior from data processing to post-processing, including providing systematic initial guess for parameters tailored to the experiment.
Base Classes¶
Abstract superclass of curve analysis base classes. |
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Base class for curve analysis with single curve group. |
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Composite Curve Analysis. |
Data Classes¶
A table-like dataset for the intermediate data used for curve fitting. |
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Result of Qiskit Experiment curve analysis. |
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Detailed description of fitting parameter. |
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Collection of fitting options. |
Standard Analysis Library¶
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A class to analyze a trajectory of the Bloch vector of a single qubit. |
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A class to analyze general exponential decay curve. |
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A class to analyze general exponential decay curve with sinusoidal oscillation. |
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Oscillation analysis class based on a fit of the data to a cosine function. |
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A class to analyze a resonance peak with a square rooted Lorentzian function. |
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A class to analyze a resonance, typically seen as a peak. |
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Error amplification analysis class based on a fit to a cosine function. |
Fit Functions¶
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Cosine function. |
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Cosine function with exponential decay. |
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Exponential function |
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Gaussian function |
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Square-root Lorentzian function for spectroscopy. |
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Sine function. |
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Sine function with exponential decay. |
Initial Guess Estimators¶
Get constant offset of sinusoidal signal. |
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Get constant offset of spectral baseline. |
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Get exponential decay parameter from monotonically increasing (decreasing) curve. |
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Get base of exponential decay function which is assumed to be close to 1. |
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Get full width half maximum value of the peak. |
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Get frequency of oscillating signal. |
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Get maximum value of y curve and its index. |
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Get minimum value of y curve and its index. |
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Get exponential decay parameter from oscillating signal. |
Utilities¶
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Check if the standard error of given value is not significant. |
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A helper function to create string representation from analysis result data object. |
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A helper function to convert LMFIT |
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Compute Y values with error propagation. |
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Return the list of filtered data |
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Return (x, y_mean, sigma) data. |
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Take mean of multi series data set. |
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Sort data. |
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Return the outcome probability mean and variance. |
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Return probability data processor callback used by the analysis classes. |