def setUp(self) -> None:
"""Setup."""
super().setUp()
self.qubit = list(qiskit.QuantumRegister(1))[0]
self.u1 = types.ScheduledGate(t0=100,
operand=library.U1Gate(0),
duration=0,
bits=[self.qubit],
bit_position=0)
self.u3 = types.ScheduledGate(t0=100,
operand=library.U3Gate(0, 0, 0),
duration=20,
bits=[self.qubit],
bit_position=0)
self.delay = types.ScheduledGate(t0=100,
operand=Delay(20),
duration=20,
bits=[self.qubit],
bit_position=0)
style = stylesheet.QiskitTimelineStyle()
self.formatter = style.formatter
def setUp(self) -> None:
"""Setup."""
super().setUp()
self.qubit = list(qiskit.QuantumRegister(1))[0]
style = stylesheet.QiskitTimelineStyle()
self.formatter = style.formatter
def setUp(self) -> None:
"""Setup."""
super().setUp()
self.qubits = list(qiskit.QuantumRegister(2))
self.gate_link = types.GateLink(t0=100, opname="cx", bits=self.qubits)
style = stylesheet.QiskitTimelineStyle()
self.formatter = style.formatter
def setUp(self) -> None:
"""Setup."""
super().setUp()
self.qubits = list(qiskit.QuantumRegister(3))
self.barrier = types.Barrier(t0=100, bits=self.qubits, bit_position=1)
style = stylesheet.QiskitTimelineStyle()
self.formatter = style.formatter
def setUp(self):
super().setUp()
self.style = stylesheet.QiskitTimelineStyle()
circ = QuantumCircuit(4)
circ.h(0)
circ.barrier()
circ.cx(0, 2)
circ.cx(1, 3)
self.circ = transpile(circ,
scheduling_method='alap',
basis_gates=['h', 'cx'],
instruction_durations=[('h', 0, 200),
('cx', [0, 2], 1000),
('cx', [1, 3], 1000)],
optimization_level=0)
def draw(
program: circuit.QuantumCircuit,
style: Optional[Dict[str, Any]] = None,
time_range: Tuple[int, int] = None,
disable_bits: List[types.Bits] = None,
show_clbits: Optional[bool] = None,
show_idle: Optional[bool] = None,
show_barriers: Optional[bool] = None,
show_delays: Optional[bool] = None,
show_labels: bool = True,
plotter: Optional[str] = types.Plotter.MPL.value,
axis: Optional[Any] = None,
filename: Optional[str] = None,
):
r"""Generate visualization data for scheduled circuit programs.
Args:
program: Program to visualize. This program should be a `QuantumCircuit` which is
transpiled with a scheduling_method, thus containing gate time information.
style: Stylesheet options. This can be dictionary or preset stylesheet classes. See
:py:class:`~qiskit.visualization.timeline.stylesheets.IQXStandard`,
:py:class:`~qiskit.visualization.timeline.stylesheets.IQXSimple`, and
:py:class:`~qiskit.visualization.timeline.stylesheets.IQXDebugging` for details of
preset stylesheets. See also the stylesheet section for details of configuration keys.
time_range: Set horizontal axis limit.
disable_bits: List of qubits of classical bits not shown in the output image.
show_clbits: A control property to show classical bits.
Set `True` to show classical bits.
show_idle: A control property to show idle timeline.
Set `True` to show timeline without gates.
show_barriers: A control property to show barrier instructions.
Set `True` to show barrier instructions.
show_delays: A control property to show delay instructions.
Set `True` to show delay instructions.
show_labels: A control property to show annotations, i.e. name, of gates.
Set `True` to show annotations.
plotter: Name of plotter API to generate an output image.
One of following APIs should be specified::
mpl: Matplotlib API
Matplotlib API to generate 2D image. Timelines 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 uses given `axis` instead of internally initializing a figure object.
This object format depends on the plotter. See plotters section for details.
filename: If provided the output image is dumped into a file under the filename.
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.
Raises:
MissingOptionalLibraryError: When required visualization package is not installed.
VisualizationError: When invalid plotter API is specified.
.. _style-dict-doc:
**Style Dict Details**
The stylesheet kwarg contains numerous options that define the style of the
output timeline 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 `14`).
formatter.general.fig_unit_height: Height of output image per timeline.
The sum of all timeline becomes the height of the output image (default `0.8`).
formatter.general.dpi: Dot per inch of image if `filename` is set (default `150`).
formatter.margin.top: Margin from the top boundary of the figure canvas to
the zero line of the first time slot (default `0.5`).
formatter.margin.bottom: Margin from the bottom boundary of the figure canvas to
the zero lien of the last time slot (default `0.5`).
formatter.margin.left_percent: Margin from the left 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 left margin of 5 (default `0.02`).
formatter.margin.right_percent: Margin from the right boundary of the figure canvas to
the right 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 `0.02`).
formatter.margin.link_interval_percent: Allowed overlap of gate links.
If multiple gate links are drawing within this range, links are horizontally
shifted not to overlap with each other. The value is in units of percentage of
the whole program duration (default `0.01`).
formatter.time_bucket.edge_dt: The length of round edge of gate boxes. Gate boxes are
smoothly faded in and out from the zero line. This value is in units of
the system cycle time dt (default `10`).
formatter.margin.minimum_duration: Minimum scheduled circuit duration.
If the duration of input circuit is below this value, horizontal limit is
set based on this value. This value is in units of
the system cycle time dt (default `50`).
formatter.color.background: Color code of the face color of canvas (default `#FFFFFF`).
formatter.color.timeslot: Face color of the time slot box (default `#DDDDDD`).
formatter.color.gate_name: Text color of the gate name annotations (default `#000000`).
formatter.color.bit_name: Text color of the bit label annotations (default `#000000`).
formatter.color.barrier: Line color of barriers (default `#222222`).
formatter.color.gates: A dictionary of the gate box or gate symbol colors
to use for each element type in the output visualization. The default
values are::
{
'u0': '#FA74A6',
'u1': '#000000',
'u2': '#FA74A6',
'u3': '#FA74A6',
'id': '#05BAB6',
'sx': '#FA74A6',
'sxdg': '#FA74A6',
'x': '#05BAB6',
'y': '#05BAB6',
'z': '#05BAB6',
'h': '#6FA4FF',
'cx': '#6FA4FF',
'cy': '#6FA4FF',
'cz': '#6FA4FF',
'swap': '#6FA4FF',
's': '#6FA4FF',
'sdg': '#6FA4FF',
'dcx': '#6FA4FF',
'iswap': '#6FA4FF',
't': '#BB8BFF',
'tdg': '#BB8BFF',
'r': '#BB8BFF',
'rx': '#BB8BFF',
'ry': '#BB8BFF',
'rz': '#000000',
'reset': '#808080',
'measure': '#808080'
}
You must specify all the necessary values if using this. If a gate name is not
specified, the color in `formatter.color.default_gate` is applied.
formatter.color.default_gate: Default gate color. This color is applied when
a gate name to visualize is not contained in the dictionary of
`formatter.color.gates` (default `#BB8BFF`).
formatter.latex_symbol.gates: A dictionary of latex representation of gate names
to use for each element type in the output visualization. The default
values are::
{
'u0': r'{\rm U}_0',
'u1': r'{\rm U}_1',
'u2': r'{\rm U}_2',
'u3': r'{\rm U}_3',
'id': r'{\rm Id}',
'x': r'{\rm X}',
'y': r'{\rm Y}',
'z': r'{\rm Z}',
'h': r'{\rm H}',
'cx': r'{\rm CX}',
'cy': r'{\rm CY}',
'cz': r'{\rm CZ}',
'swap': r'{\rm SWAP}',
's': r'{\rm S}',
'sdg': r'{\rm S}^\dagger',
'sx': r'{\rm √X}',
'sxdg': r'{\rm √X}^\dagger',
'dcx': r'{\rm DCX}',
'iswap': r'{\rm iSWAP}',
't': r'{\rm T}',
'tdg': r'{\rm T}^\dagger',
'r': r'{\rm R}',
'rx': r'{\rm R}_x',
'ry': r'{\rm R}_y',
'rz': r'{\rm R}_z',
'reset': r'|0\rangle',
'measure': r'{\rm Measure}'
}
You must specify all the necessary values if using this. There is
no provision for passing an incomplete dict in.
formatter.latex_symbol.frame_change: Latex representation of
the frame change symbol (default r`\circlearrowleft`).
formatter.unicode_symbol.frame_change: Unicode representation of
the frame change symbol (default u'\u21BA').
formatter.box_height.gate: Height of gate box (default `0.5`).
formatter.box_height.timeslot: Height of time slot (default `0.6`).
formatter.layer.gate: Layer index of gate boxes. Larger number comes
in the front of the output image (default `3`).
formatter.layer.timeslot: Layer index of time slots. Larger number comes
in the front of the output image (default `0`).
formatter.layer.gate_name: Layer index of gate name annotations. Larger number comes
in the front of the output image (default `5`).
formatter.layer.bit_name: Layer index of bit 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.barrier: Layer index of barrier lines. Larger number comes
in the front of the output image (default `1`).
formatter.layer.gate_link: Layer index of gate link lines. Larger number comes
in the front of the output image (default `2`).
formatter.alpha.gate: Transparency of gate boxes. A value in the range from
`0` to `1`. The value `0` gives completely transparent boxes (default `1.0`).
formatter.alpha.timeslot: Transparency of time slots. A value in the range from
`0` to `1`. The value `0` gives completely transparent boxes (default `0.7`).
formatter.alpha.barrier: Transparency of barrier lines. A value in the range from
`0` to `1`. The value `0` gives completely transparent lines (default `0.5`).
formatter.alpha.gate_link: Transparency of gate link lines. A value in the range from
`0` to `1`. The value `0` gives completely transparent lines (default `0.8`).
formatter.line_width.gate: Line width of the fringe of gate boxes (default `0`).
formatter.line_width.timeslot: Line width of the fringe of time slots (default `0`).
formatter.line_width.barrier: Line width of barrier lines (default `3`).
formatter.line_width.gate_link: Line width of gate links (default `3`).
formatter.line_style.barrier: Line style of barrier lines. This
conforms to the line style spec of matplotlib (default `'-'`).
formatter.line_style.gate_link: Line style of gate link lines. This
conforms to the line style spec of matplotlib (default `'-'`).
formatter.text_size.gate_name: Text size of gate name annotations (default `12`).
formatter.text_size.bit_name: Text size of bit labels (default `15`).
formatter.text_size.frame_change: Text size of frame change symbols (default `18`).
formatter.text_size.axis_label: Text size of axis labels (default `13`).
formatter.label_offset.frame_change: Offset of zero duration gate name annotations
from the zero line of time slot (default `0.25`).
formatter.control.show_idle: Set `True` to show time slots without gate (default `True`).
formatter.control.show_clbits: Set `True` to show time slots of
classical bits (default `True`).
formatter.control.show_barriers: Set `True` to show barriers (default `True`).
formatter.control.show_delays: Set `True` to show delay boxes (default `True`).
generator.gates: List of callback functions that generates drawings
for gates. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the timeline drawer. See
:py:mod:`~qiskit.visualization.timeline.generators` for more details.
No default generator is set (default `[]`).
generator.bits: List of callback functions that generates drawings for bit labels
and time slots. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the timeline drawer. See
:py:mod:`~qiskit.visualization.timeline.generators` for more details.
No default generator is set (default `[]`).
generator.barriers: List of callback functions that generates drawings
for barriers. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the timeline drawer. See
:py:mod:`~qiskit.visualization.timeline.generators` for more details.
No default generator is set (default `[]`).
generator.gate_links: List of callback functions that generates drawings
for gate links. Arbitrary callback functions satisfying the generator format
can be set here. There are some default generators in the timeline drawer. See
:py:mod:`~qiskit.visualization.timeline.generators` for more details.
No default generator is set (default `[]`).
layout.bit_arrange: Callback function that sorts bits. See
:py:mod:`~qiskit.visualization.timeline.layouts` for more details.
No default layout is set. (default `None`).
layout.time_axis_map: Callback function that determines the layout of
horizontal axis labels. See :py:mod:`~qiskit.visualization.timeline.layouts`
for more details. No default layout is set. (default `None`).
Examples:
To visualize a scheduled circuit 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.timeline import draw
from qiskit.providers.fake_provider import FakeAlmaden
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
qc = transpile(qc, FakeAlmaden(), scheduling_method='alap', layout_method='trivial')
draw(qc)
Drawing with the simple stylesheet.
.. jupyter-execute::
from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.timeline import draw, IQXSimple
from qiskit.providers.fake_provider import FakeAlmaden
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
qc = transpile(qc, FakeAlmaden(), scheduling_method='alap', layout_method='trivial')
draw(qc, style=IQXSimple())
Drawing with the stylesheet suited for program debugging.
.. jupyter-execute::
from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.timeline import draw, IQXDebugging
from qiskit.providers.fake_provider import FakeAlmaden
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
qc = transpile(qc, FakeAlmaden(), scheduling_method='alap', layout_method='trivial')
draw(qc, style=IQXDebugging())
You can partially customize a preset stylesheet when call it::
my_style = {
'formatter.general.fig_width': 16,
'formatter.general.fig_unit_height': 1
}
style = IQXStandard(**my_style)
# draw
draw(qc, style=style)
In the same way as above, you can create custom generator or layout functions
and update existing stylesheet with custom functions.
This feature enables you to control the most of appearance of the output image
without modifying the codebase of the scheduled circuit drawer.
"""
# update stylesheet
temp_style = stylesheet.QiskitTimelineStyle()
temp_style.update(style or stylesheet.IQXStandard())
# update control properties
if show_idle is not None:
temp_style["formatter.control.show_idle"] = show_idle
if show_clbits is not None:
temp_style["formatter.control.show_clbits"] = show_clbits
if show_barriers is not None:
temp_style["formatter.control.show_barriers"] = show_barriers
if show_delays is not None:
temp_style["formatter.control.show_delays"] = show_delays
# create empty canvas and load program
canvas = core.DrawerCanvas(stylesheet=temp_style)
canvas.load_program(program=program)
#
# update configuration
#
# time range
if time_range:
canvas.set_time_range(*time_range)
# bits not shown
if disable_bits:
for bit in disable_bits:
canvas.set_disable_bits(bit, remove=True)
# show labels
if not show_labels:
labels = [
types.LabelType.DELAY, types.LabelType.GATE_PARAM,
types.LabelType.GATE_NAME
]
for label in labels:
canvas.set_disable_type(label, remove=True)
canvas.update()
#
# Call plotter API and generate image
#
if plotter == types.Plotter.MPL.value:
try:
from qiskit.visualization.timeline.plotters import MplPlotter
except ImportError as ex:
raise MissingOptionalLibraryError(
libname="Matplotlib",
name="timeline drawer",
pip_install="pip install matplotlib",
) from ex
plotter_api = MplPlotter(canvas=canvas, axis=axis)
plotter_api.draw()
else:
raise VisualizationError(f"Plotter API {plotter} is not supported.")
# save figure
if filename:
plotter_api.save_file(filename=filename)
return plotter_api.get_image()