About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
qiskit_ibm_runtime.visualization.draw_zne_extrapolators
draw_zne_extrapolators(result, indices=None, names=None, num_stds=1, max_mag=10, max_std=0.2, height=500, width=1000, colorscale='Aggrnyl')
Plot the zero noise extrapolation data in an EstimatorPubResult
.
This function generates a subfigure for each extrapolator.
Parameters
- result (EstimatorPubResult) – An
EstimatorPubResult
. - indices (Sequence[tuple[int, ...]] | None) – The indices of the expectation values to include in the plot. If
None
, includes all values. SeeZneOptions
for information on the indexing scheme. - names (Sequence[str] | None) – The names to assign to the expectation values. If
None
, the names correspond to the indices. - num_stds (int) – The number of standard deviations to include around each fit.
- max_mag (float) – The maximum magnitude of expectation values to include. If
evs_extrapolated
has a greater magnitude than this value, the expectation value is omitted from the plot. - max_std (float) – The maximum standard deviation to include. If
stds_extrapolated
is greater than this value for an expectation value and extrapolator, the fit is omitted from the plot. - height (int) – The height of the plot in pixels.
- width (int) – The width of the plot in pixels.
- colorscale (str) – The colorscale to use.
Returns
A plotly figure.
Raises
- ValueError – If
result
does not contain zero noise extrapolation data. - ValueError – If the length of
names
is not equal to the length ofindices
.
Return type
PlotlyFigure
Was this page helpful?
Report a bug or request content on GitHub.