plot_left_over_error_budget

plot_left_over_error_budget(metadata, axes)

Plot the left-over error budget.

This method populates the provided figure axes with a line-plot of the OBPMetadata.left_over_error_budget(). Below is an example where we plot some metadata which exists within our context.

>>> from matplotlib import pyplot as plt
>>> from qiskit_addon_obp.utils.visualization import plot_left_over_error_budget
>>> fig, axes = plt.subplots(1, 1)
>>> plot_left_over_error_budget(metadata, axes)

Fig. 1 (png, hires.png, pdf)

Fig. 2 (png, hires.png, pdf)

As you can see in the figure above, the number of backpropagated slices is displayed along the x-axis. You can think of this as the “time” of the backpropagation algorithm. The left-over error budget available at each backpropagation step is displayed along the y-axis. Since each observable that was backpropagated has its own budget, they are plotted as separate lines.

Parameters:

• metadata (OBPMetadata) – the metadata to be visualized.

• axes (Axes) – the matplotlib axes in which to plot.