qctrlvisualizer.plot_controls(controls: dict, polar: bool = True, smooth: bool = False, unit_symbol: str = 'Hz', two_pi_factor: bool = True, *, figure: Optional[matplotlib.figure.Figure] = None)

Create a plot of the specified controls.

  • controls (dict) –

    The dictionary of controls to plot. The keys should be the names of the controls, and the values represent the pulse by either (1) a dictionary with the ‘durations’ and ‘values’ for that control, or (2) a list of segments, each a dictionary with ‘duration’ and ‘value’ keys. The durations must be in seconds and the values (possibly complex) in the units specified by unit_symbol. For example, the following two controls inputs would be valid (and equivalent):

      "Clock": {"durations": [1.0, 1.0, 2.0], "values": [-0.5, 0.5, -1.5]},
      "Microwave": {"durations": [0.5, 1.0], "values": [0.5 + 1.5j, 0.2 - 0.3j]},
      "Clock": [
        {"duration": 1.0, "value": -0.5},
        {"duration": 1.0, "value": 0.5},
        {"duration": 2.0, "value": -1.5},
      "Microwave": [
        {"duration": 0.5, "value": 0.5 + 1.5j},
        {"duration": 1.0, "value": 0.2 - 0.3j},

  • 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, optional) – A matplotlib Figure in which to place the plots. If passed, its dimensions and axes will be overridden.