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Waveform

qiskit.pulse.library.Waveform(samples, name=None, epsilon=1e-07, limit_amplitude=None) GitHub(opens in a new tab)

Bases: Pulse

A pulse specified completely by complex-valued samples; each sample is played for the duration of the backend cycle-time, dt.

Create new sample pulse command.

Parameters


Attributes

duration

name

id

Unique identifier for this pulse.

limit_amplitude

= True

parameters

Return a dictionary containing the pulse’s parameters.

samples

Return sample values.


Methods

draw

draw(style=None, backend=None, time_range=None, time_unit='dt', show_waveform_info=True, plotter='mpl2d', axis=None)

Plot the interpolated envelope of pulse.

Parameters

  • style (dict(opens in a new tab)[str(opens in a new tab), Any] | None) – Stylesheet options. This can be dictionary or preset stylesheet classes. See IQXStandard, IQXSimple, and IQXDebugging for details of preset stylesheets.

  • backend (Optional[BaseBackend]) – Backend object to play the input pulse program. If provided, the plotter may use to make the visualization hardware aware.

  • time_range (tuple(opens in a new tab)[int(opens in a new tab), int(opens in a new tab)] | None) – Set horizontal axis limit. Tuple (tmin, tmax).

  • time_unit (str(opens in a new tab)) – The unit of specified time range either dt or ns. The unit of ns is available only when backend object is provided.

  • show_waveform_info (bool(opens in a new tab)) – Show waveform annotations, i.e. name, of waveforms. Set True to show additional information about waveforms.

  • plotter (str(opens in a new tab)) –

    Name of plotter API to generate an output image. One of following APIs should be specified:

    mpl2d: Matplotlib API for 2D image generation.
        Matplotlib API to generate 2D image. Charts are placed along y axis with
        vertical offset. This API takes matplotlib.axes.Axes as `axis` input.

    axis and style kwargs may depend on the plotter.

  • axis (Any | None) – Arbitrary object passed to the plotter. If this object is provided, the plotters use a given axis instead of internally initializing a figure object. This object format depends on the plotter. See plotter argument for details.

Returns

Visualization output data. The returned data type depends on the plotter. If matplotlib family is specified, this will be a matplotlib.pyplot.Figure data.

is_parameterized

is_parameterized()

Return True iff the instruction is parameterized.

Return type

bool(opens in a new tab)

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