plot_controls
- qctrlvisualizer.plot_controls(controls, polar=True, smooth=False, unit_symbol='Hz', two_pi_factor=True, *, figure=None)
Create a plot of the specified controls.
- Parameters:
controls (dict) – The dictionary of controls to plot. The keys should be the names of the controls, and the values represent the pulse by a dictionary with the ‘durations’ and ‘values’ for that control. The durations must be in seconds and the values (possibly complex) in the units specified by unit_symbol.
polar (bool, optional) – The mode of the plot when the values appear to be complex numbers. Plot magnitude and angle in two figures if set to True, otherwise plot I and Q in two figures. Defaults to True.
smooth (bool, optional) – Whether to plot the controls as samples joined by straight lines, rather than as piecewise-constant segments. Defaults to False.
unit_symbol (str, optional) – The symbol of the unit to which the controls values correspond. Defaults to “Hz”.
two_pi_factor (bool, optional) – Whether the values of the controls should be divided by 2π in the plots. Defaults to True.
figure (matplotlib.figure.Figure or None, optional) – A matplotlib Figure in which to place the plots. If passed, its dimensions and axes will be overridden.
Examples
Plot a linear ramp and a Gaussian pulse.
import numpy as np import boulderopal as bo from qctrlvisualizer import plot_controls duration = 10e-6 # s time_step = 0.01e-6 # s amplitude = 2 * np.pi * 10e6 # Hz drag_gaussian = 0.2 linear_ramp = bo.signals.linear_ramp(duration=duration, end_value=amplitude / 2) gaussian_pulse = bo.signals.gaussian_pulse( duration=duration, amplitude=amplitude, drag=drag_gaussian ) controls = { "Linear ramp": { "durations": np.full(int(duration / time_step), time_step), "values": linear_ramp.export_with_time_step(time_step), }, "Gaussian": { "durations": np.full(int(duration / time_step), time_step), "values": gaussian_pulse.export_with_time_step(time_step), }, } plot_controls(controls, polar=False)