def setUp(self) -> None:
super().setUp()
self.style = stylesheet.QiskitPulseStyle()
self.device = device_info.OpenPulseBackendInfo(
name='test',
dt=1,
channel_frequency_map={
pulse.DriveChannel(0): 5.0,
pulse.MeasureChannel(0): 7.0,
pulse.ControlChannel(0): 5.0,
},
qubit_channel_map={
0: [
pulse.DriveChannel(0),
pulse.MeasureChannel(0),
pulse.AcquireChannel(0),
pulse.ControlChannel(0)
]
})
# objects
self.short_pulse = drawing_objects.LineData(
data_type=types.DrawingWaveform.REAL,
xvals=[0, 0, 1, 4, 5, 5],
yvals=[0, 0.5, 0.5, 0.5, 0.5, 0],
channels=[pulse.DriveChannel(0)])
self.long_pulse = drawing_objects.LineData(
data_type=types.DrawingWaveform.REAL,
xvals=[8, 8, 9, 19, 20, 20],
yvals=[0, 0.3, 0.3, 0.3, 0.3, 0],
channels=[pulse.DriveChannel(1)])
self.abstract_hline = drawing_objects.LineData(
data_type=types.DrawingLine.BASELINE,
xvals=[
types.AbstractCoordinate.LEFT, types.AbstractCoordinate.RIGHT
],
yvals=[0, 0],
channels=[pulse.DriveChannel(0)])
def setUp(self) -> None:
super().setUp()
self.style = stylesheet.QiskitPulseStyle()
self.device = device_info.OpenPulseBackendInfo(
name='test',
dt=1,
channel_frequency_map={
pulse.DriveChannel(0): 5.0,
pulse.MeasureChannel(0): 7.0,
pulse.ControlChannel(0): 5.0,
},
qubit_channel_map={
0: [
pulse.DriveChannel(0),
pulse.MeasureChannel(0),
pulse.AcquireChannel(0),
pulse.ControlChannel(0)
]
})
self.sched = pulse.Schedule()
self.sched.insert(0,
pulse.Play(
pulse.Waveform([0., 0.1, 0.2, 0.3, 0.4, 0.5]),
pulse.DriveChannel(0)),
inplace=True)
self.sched.insert(10,
pulse.Play(
pulse.Waveform([0.5, 0.4, 0.3, 0.2, 0.1, 0.]),
pulse.DriveChannel(0)),
inplace=True)
self.sched.insert(0,
pulse.Play(
pulse.Waveform([0.3, 0.3, 0.3, 0.3, 0.3, 0.3]),
pulse.DriveChannel(1)),
inplace=True)
def draw(
program: Union[Waveform, ParametricPulse, Schedule, ScheduleBlock],
style: Optional[Dict[str, Any]] = None,
backend: Optional[BaseBackend] = None,
time_range: Optional[Tuple[int, int]] = None,
time_unit: str = types.TimeUnits.CYCLES.value,
disable_channels: Optional[List[Channel]] = None,
show_snapshot: bool = True,
show_framechange: bool = True,
show_waveform_info: bool = True,
show_barrier: bool = True,
plotter: str = types.Plotter.Mpl2D.value,
axis: Optional[Any] = None,
):
"""Generate visualization data for pulse programs.
Args:
program: Program to visualize. This program can be arbitrary Qiskit Pulse program,
such as :py:class:~`qiskit.pulse.Waveform`, :py:class:~`qiskit.pulse.ParametricPulse`,
and :py:class:~`qiskit.pulse.Schedule`.
style: Stylesheet options. This can be dictionary or preset stylesheet classes. See
:py:class:~`qiskit.visualization.pulse_v2.stylesheets.IQXStandard`,
:py:class:~`qiskit.visualization.pulse_v2.stylesheets.IQXSimple`, and
:py:class:~`qiskit.visualization.pulse_v2.stylesheets.IQXDebugging` for details of
preset stylesheets. See also the stylesheet section for details of configuration keys.
backend: Backend object to play the input pulse program. If provided, the plotter
may use to make the visualization hardware aware.
time_range: Set horizontal axis limit. Tuple ``(tmin, tmax)``.
time_unit: The unit of specified time range either ``dt`` or ``ns``.
The unit of ``ns`` is available only when ``backend`` object is provided.
disable_channels: A control property to show specific pulse channel.
Pulse channel instances provided as a list is not shown in the output image.
show_snapshot: Show snapshot instructions.
show_framechange: Show frame change instructions. The frame change represents
instructions that modulate phase or frequency of pulse channels.
show_waveform_info: Show waveform annotations, i.e. name, of waveforms.
Set ``True`` to show additional information about waveforms.
show_barrier: Show barrier lines.
plotter: 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: 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.
The returned data is generated by the `.get_image` method of the specified plotter API.
.. _style-dict-doc:
**Style Dict Details**
The stylesheet kwarg contains numerous options that define the style of the
output pulse visualization.
The stylesheet options can be classified into `formatter`, `generator` and `layout`.
Those options available in the stylesheet are defined below:
Args:
formatter.general.fig_width: Width of output image (default `13`).
formatter.general.fig_chart_height: Height of output image per chart.
The height of each chart is multiplied with this factor and the
sum of all chart heights becomes the height of output image (default `1.5`).
formatter.general.vertical_resolution: Vertical resolution of the pulse envelope.
The change of data points below this limit is ignored (default `1e-6`).
formatter.general.max_scale: Maximum scaling factor of each chart. This factor is
considered when chart auto-scaling is enabled (default `100`).
formatter.color.waveforms: A dictionary of the waveform colors to use for
each element type in the output visualization. The default values are::
{
'W': `['#648fff', '#002999']`,
'D': `['#648fff', '#002999']`,
'U': `['#ffb000', '#994A00']`,
'M': `['#dc267f', '#760019']`,
'A': `['#dc267f', '#760019']`
}
formatter.color.baseline: Color code of lines of zero line of each chart
(default `'#000000'`).
formatter.color.barrier: Color code of lines of barrier (default `'#222222'`).
formatter.color.background: Color code of the face color of canvas
(default `'#f2f3f4'`).
formatter.color.fig_title: Color code of the figure title text
(default `'#000000'`).
formatter.color.annotate: Color code of annotation texts in the canvas
(default `'#222222'`).
formatter.color.frame_change: Color code of the symbol for frame changes
(default `'#000000'`).
formatter.color.snapshot: Color code of the symbol for snapshot
(default `'#000000'`)
formatter.color.opaque_shape: Color code of the face and edge of opaque shape box
(default `['#fffacd', '#000000']`)
formatter.color.axis_label: Color code of axis labels (default `'#000000'`).
formatter.alpha.fill_waveform: Transparency of waveforms. A value in the range from
`0` to `1`. The value `0` gives completely transparent waveforms (default `0.3`).
formatter.alpha.baseline: Transparency of base lines. A value in the range from
`0` to `1`. The value `0` gives completely transparent base lines (default `1.0`).
formatter.alpha.barrier: Transparency of barrier lines. A value in the range from
`0` to `1`. The value `0` gives completely transparent barrier lines (default `0.7`).
formatter.alpha.opaque_shape: Transparency of opaque shape box. A value in the range from
`0` to `1`. The value `0` gives completely transparent barrier lines (default `0.7`).
formatter.layer.fill_waveform: Layer index of waveforms. Larger number comes
in the front of the output image (default `2`).
formatter.layer.baseline: Layer index of baselines. Larger number comes
in the front of the output image (default `1`).
formatter.layer.barrier: Layer index of barrier lines. Larger number comes
in the front of the output image (default `1`).
formatter.layer.annotate: Layer index of annotations. Larger number comes
in the front of the output image (default `5`).
formatter.layer.axis_label: Layer index of axis labels. Larger number comes
in the front of the output image (default `5`).
formatter.layer.frame_change: Layer index of frame change symbols. Larger number comes
in the front of the output image (default `4`).
formatter.layer.snapshot: Layer index of snapshot symbols. Larger number comes
in the front of the output image (default `3`).
formatter.layer.fig_title: Layer index of the figure title. Larger number comes
in the front of the output image (default `6`).
formatter.margin.top: Margin from the top boundary of the figure canvas to
the surface of the first chart (default `0.5`).
formatter.margin.bottom: Margin from the bottom boundary of the figure canvas to
the surface of the last chart (default `0.5`).
formatter.margin.left_percent: Margin from the left boundary of the figure canvas to
the zero point of the horizontal axis. The value is in units of percentage of
the whole program duration. If the duration is 100 and the value of 0.5 is set,
this keeps left margin of 5 (default `0.05`).
formatter.margin.right_percent: Margin from the right boundary of the figure canvas to
the left limit of the horizontal axis. The value is in units of percentage of
the whole program duration. If the duration is 100 and the value of 0.5 is set,
this keeps right margin of 5 (default `0.05`).
formatter.margin.between_channel: Vertical margin between charts (default `0.2`).
formatter.label_offset.pulse_name: Offset of pulse name annotations from the
chart baseline (default `0.3`).
formatter.label_offset.chart_info: Offset of chart info annotations from the
chart baseline (default `0.3`).
formatter.label_offset.frame_change: Offset of frame change annotations from the
chart baseline (default `0.3`).
formatter.label_offset.snapshot: Offset of snapshot annotations from the
chart baseline (default `0.3`).
formatter.text_size.axis_label: Text size of axis labels (default `15`).
formatter.text_size.annotate: Text size of annotations (default `12`).
formatter.text_size.frame_change: Text size of frame change symbols (default `20`).
formatter.text_size.snapshot: Text size of snapshot symbols (default `20`).
formatter.text_size.fig_title: Text size of the figure title (default `15`).
formatter.text_size.axis_break_symbol: Text size of axis break symbols (default `15`).
formatter.line_width.fill_waveform: Line width of the fringe of filled waveforms
(default `0`).
formatter.line_width.axis_break: Line width of axis breaks.
The axis break line paints over other drawings with the background
face color (default `6`).
formatter.line_width.baseline: Line width of base lines (default `1`)
formatter.line_width.barrier: Line width of barrier lines (default `1`).
formatter.line_width.opaque_shape: Line width of opaque shape box (default `1`).
formatter.line_style.fill_waveform: Line style of the fringe of filled waveforms. This
conforms to the line style spec of matplotlib (default `'-'`).
formatter.line_style.baseline: Line style of base lines. This
conforms to the line style spec of matplotlib (default `'-'`).
formatter.line_style.barrier: Line style of barrier lines. This
conforms to the line style spec of matplotlib (default `':'`).
formatter.line_style.opaque_shape: Line style of opaque shape box. This
conforms to the line style spec of matplotlib (default `'--'`).
formatter.channel_scaling.drive: Default scaling value of drive channel
waveforms (default `1.0`).
formatter.channel_scaling.control: Default scaling value of control channel
waveforms (default `1.0`).
formatter.channel_scaling.measure: Default scaling value of measure channel
waveforms (default `1.0`).
formatter.channel_scaling.acquire: Default scaling value of acquire channel
waveforms (default `1.0`).
formatter.channel_scaling.pos_spacing: Minimum height of chart above the baseline.
Chart top is determined based on the maximum height of waveforms associated
with the chart. If the maximum height is below this value, this value is set
as the chart top (default 0.1).
formatter.channel_scaling.neg_spacing: Minimum height of chart below the baseline.
Chart bottom is determined based on the minimum height of waveforms associated
with the chart. If the minimum height is above this value, this value is set
as the chart bottom (default -0.1).
formatter.box_width.opaque_shape: Default box length of the waveform representation
when the instruction is parameterized and duration is not bound or not defined.
Value is units in dt (default: 150).
formatter.box_height.opaque_shape: Default box height of the waveform representation
when the instruction is parameterized (default: 0.4).
formatter.axis_break.length: Waveform or idle time duration that axis break is
applied. Intervals longer than this value are truncated.
The value is in units of data points (default `3000`).
formatter.axis_break.max_length: Length of new waveform or idle time duration
after axis break is applied. Longer intervals are truncated to this length
(default `1000`).
formatter.control.apply_phase_modulation: Set `True` to apply phase modulation
to the waveforms (default `True`).
formatter.control.show_snapshot_channel: Set `True` to show snapshot instructions
(default `True`).
formatter.control.show_acquire_channel: Set `True` to show acquire channels
(default `True`).
formatter.control.show_empty_channel: Set `True` to show charts without any waveforms
(default `True`).
formatter.control.auto_chart_scaling: Set `True` to apply auto-scaling to charts
(default `True`).
formatter.control.axis_break: Set `True` to apply axis break for long intervals
(default `True`).
formatter.unicode_symbol.frame_change: Text that represents the symbol of
frame change. This text is used when the plotter doesn't support latex
(default u'\u21BA').
formatter.unicode_symbol.snapshot: Text that represents the symbol of
snapshot. This text is used when the plotter doesn't support latex
(default u'\u21AF').
formatter.unicode_symbol.phase_parameter: Text that represents the symbol of
parameterized phase value. This text is used when the plotter doesn't support latex
(default u'\u03b8').
formatter.unicode_symbol.freq_parameter: Text that represents the symbol of
parameterized frequency value. This text is used when the plotter doesn't support latex
(default 'f').
formatter.latex_symbol.frame_change: Latex text that represents the symbol of
frame change (default r'\\circlearrowleft').
formatter.latex_symbol.snapshot: Latex text that represents the symbol of
snapshot (default '').
formatter.latex_symbol.phase_parameter: Latex text that represents the symbol of
parameterized phase value (default r'\theta').
formatter.latex_symbol.freq_parameter: Latex text that represents the symbol of
parameterized frequency value (default 'f').
generator.waveform: List of callback functions that generates drawing
for waveforms. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the pulse drawer.
See :py:mod:~`qiskit.visualization.pulse_v2.generators.waveform` for more details.
No default generator is set.
generator.frame: List of callback functions that generates drawing
for frame changes. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the pulse drawer.
See :py:mod:~`qiskit.visualization.pulse_v2.generators.frame` for more details.
No default generator is set.
generator.chart: List of callback functions that generates drawing
for charts. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the pulse drawer.
See :py:mod:~`qiskit.visualization.pulse_v2.generators.chart` for more details.
No default generator is set.
generator.snapshot: List of callback functions that generates drawing
for snapshots. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the pulse drawer.
See :py:mod:~`qiskit.visualization.pulse_v2.generators.snapshot` for more details.
No default generator is set.
generator.barrier: List of callback functions that generates drawing
for barriers. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the pulse drawer.
See :py:mod:~`qiskit.visualization.pulse_v2.generators.barrier` for more details.
No default generator is set.
layout.chart_channel_map: Callback function that determines the relationship
between pulse channels and charts.
See :py:mod:~`qiskit.visualization.pulse_v2.layout` for more details.
No default layout is set.
layout.time_axis_map: Callback function that determines the layout of
horizontal axis labels.
See :py:mod:~`qiskit.visualization.pulse_v2.layout` for more details.
No default layout is set.
layout.figure_title: Callback function that generates a string for
the figure title.
See :py:mod:~`qiskit.visualization.pulse_v2.layout` for more details.
No default layout is set.
Examples:
To visualize a pulse program, you can call this function with set of
control arguments. Most of appearance of the output image can be controlled by the
stylesheet.
Drawing with the default stylesheet.
.. jupyter-execute::
from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.pulse_v2 import draw
from qiskit.test.mock import FakeAlmaden
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()
qc = transpile(qc, FakeAlmaden())
sched = schedule(qc, FakeAlmaden())
draw(sched, backend=FakeAlmaden())
Drawing with the stylesheet suited for publication.
.. jupyter-execute::
from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.pulse_v2 import draw, IQXSimple
from qiskit.test.mock import FakeAlmaden
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()
qc = transpile(qc, FakeAlmaden())
sched = schedule(qc, FakeAlmaden())
draw(sched, style=IQXSimple(), backend=FakeAlmaden())
Drawing with the stylesheet suited for program debugging.
.. jupyter-execute::
from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.pulse_v2 import draw, IQXDebugging
from qiskit.test.mock import FakeAlmaden
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()
qc = transpile(qc, FakeAlmaden())
sched = schedule(qc, FakeAlmaden())
draw(sched, style=IQXDebugging(), backend=FakeAlmaden())
You can partially customize a preset stylesheet when initializing it.
.. code-block:: python
my_style = {
'formatter.channel_scaling.drive': 5,
'formatter.channel_scaling.control': 1,
'formatter.channel_scaling.measure': 5
}
style = IQXStandard(**my_style)
# draw
draw(sched, style=style, backend=FakeAlmaden())
In the same way as above, you can create custom generator or layout functions
and update the existing stylesheet with custom functions.
This feature enables you to customize most of the appearance of the output image
without modifying the codebase.
Raises:
MissingOptionalLibraryError: When required visualization package is not installed.
VisualizationError: When invalid plotter API or invalid time range is specified.
"""
temp_style = stylesheet.QiskitPulseStyle()
temp_style.update(style or stylesheet.IQXStandard())
if backend:
device = device_info.OpenPulseBackendInfo.create_from_backend(backend)
else:
device = device_info.OpenPulseBackendInfo()
# create empty canvas and load program
canvas = core.DrawerCanvas(stylesheet=temp_style, device=device)
canvas.load_program(program=program)
#
# update configuration
#
# time range
if time_range:
if time_unit == types.TimeUnits.CYCLES.value:
canvas.set_time_range(*time_range, seconds=False)
elif time_unit == types.TimeUnits.NS.value:
canvas.set_time_range(*time_range, seconds=True)
else:
raise VisualizationError(
f"Invalid time unit {time_unit} is specified.")
# channels not shown
if disable_channels:
for chan in disable_channels:
canvas.set_disable_channel(chan, remove=True)
# show snapshots
if not show_snapshot:
canvas.set_disable_type(types.SymbolType.SNAPSHOT, remove=True)
canvas.set_disable_type(types.LabelType.SNAPSHOT, remove=True)
# show frame changes
if not show_framechange:
canvas.set_disable_type(types.SymbolType.FRAME, remove=True)
canvas.set_disable_type(types.LabelType.FRAME, remove=True)
# show waveform info
if not show_waveform_info:
canvas.set_disable_type(types.LabelType.PULSE_INFO, remove=True)
canvas.set_disable_type(types.LabelType.PULSE_NAME, remove=True)
# show barrier
if not show_barrier:
canvas.set_disable_type(types.LineType.BARRIER, remove=True)
canvas.update()
#
# Call plotter API and generate image
#
if plotter == types.Plotter.Mpl2D.value:
try:
from qiskit.visualization.pulse_v2.plotters import Mpl2DPlotter
except ImportError as ex:
raise MissingOptionalLibraryError(
libname="Matplotlib",
name="plot_histogram",
pip_install="pip install matplotlib",
) from ex
plotter_api = Mpl2DPlotter(canvas=canvas, axis=axis)
plotter_api.draw()
else:
raise VisualizationError(f"Plotter API {plotter} is not supported.")
return plotter_api.get_image()