def _matplotlib_circuit_drawer(circuit,
scale=0.7,
filename=None,
style=None,
plot_barriers=True,
reverse_bits=False,
justify=None):
"""Draw a quantum circuit based on matplotlib.
If `%matplotlib inline` is invoked in a Jupyter notebook, it visualizes a circuit inline.
We recommend `%config InlineBackend.figure_format = 'svg'` for the inline visualization.
Args:
circuit (QuantumCircuit): a quantum circuit
scale (float): scaling factor
filename (str): file path to save image to
style (dict or str): dictionary of style or file name of style file
reverse_bits (bool): When set to True reverse the bit order inside
registers for the output visualization.
plot_barriers (bool): Enable/disable drawing barriers in the output
circuit. Defaults to True.
justify (str) : `left`, `right` or `none`. Defaults to `left`. Says how
the circuit should be justified.
Returns:
matplotlib.figure: a matplotlib figure object for the circuit diagram
"""
qregs, cregs, ops = utils._get_layered_instructions(circuit,
reverse_bits=reverse_bits,
justify=justify)
qcd = _matplotlib.MatplotlibDrawer(qregs, cregs, ops, scale=scale, style=style,
plot_barriers=plot_barriers,
reverse_bits=reverse_bits)
return qcd.draw(filename)
def _matplotlib_circuit_drawer(circuit,
scale=0.7,
filename=None,
style=None,
plot_barriers=True,
reverse_bits=False,
justify=None,
idle_wires=True,
with_layout=True,
fold=None,
ax=None):
"""Draw a quantum circuit based on matplotlib.
If `%matplotlib inline` is invoked in a Jupyter notebook, it visualizes a circuit inline.
We recommend `%config InlineBackend.figure_format = 'svg'` for the inline visualization.
Args:
circuit (QuantumCircuit): a quantum circuit
scale (float): scaling factor
filename (str): file path to save image to
style (dict or str): dictionary of style or file name of style file
reverse_bits (bool): When set to True reverse the bit order inside
registers for the output visualization.
plot_barriers (bool): Enable/disable drawing barriers in the output
circuit. Defaults to True.
justify (str): `left`, `right` or `none`. Defaults to `left`. Says how
the circuit should be justified.
idle_wires (bool): Include idle wires. Default is True.
with_layout (bool): Include layout information, with labels on the physical
layout. Default: True.
fold (int): amount ops allowed before folding. Default is 25.
ax (matplotlib.axes.Axes): An optional Axes object to be used for
the visualization output. If none is specified a new matplotlib
Figure will be created and used. Additionally, if specified there
will be no returned Figure since it is redundant.
Returns:
matplotlib.figure: a matplotlib figure object for the circuit diagram
if the ``ax`` kwarg is not set.
"""
qregs, cregs, ops = utils._get_layered_instructions(circuit,
reverse_bits=reverse_bits,
justify=justify,
idle_wires=idle_wires)
if with_layout:
layout = circuit._layout
else:
layout = None
if fold is None:
fold = 25
qcd = _matplotlib.MatplotlibDrawer(qregs, cregs, ops, scale=scale, style=style,
plot_barriers=plot_barriers,
reverse_bits=reverse_bits, layout=layout,
fold=fold, ax=ax)
return qcd.draw(filename)
def _matplotlib_circuit_drawer(
circuit,
scale=None,
filename=None,
style=None,
plot_barriers=True,
reverse_bits=False,
justify=None,
idle_wires=True,
with_layout=True,
fold=None,
ax=None,
initial_state=False,
cregbundle=True,
wire_order=None,
):
"""Draw a quantum circuit based on matplotlib.
If `%matplotlib inline` is invoked in a Jupyter notebook, it visualizes a circuit inline.
We recommend `%config InlineBackend.figure_format = 'svg'` for the inline visualization.
Args:
circuit (QuantumCircuit): a quantum circuit
scale (float): scaling factor
filename (str): file path to save image to
style (dict or str): dictionary of style or file name of style file
reverse_bits (bool): When set to True, reverse the bit order inside
registers for the output visualization.
plot_barriers (bool): Enable/disable drawing barriers in the output
circuit. Defaults to True.
justify (str): `left`, `right` or `none`. Defaults to `left`. Says how
the circuit should be justified.
idle_wires (bool): Include idle wires. Default is True.
with_layout (bool): Include layout information, with labels on the physical
layout. Default: True.
fold (int): Number of vertical layers allowed before folding. Default is 25.
ax (matplotlib.axes.Axes): An optional Axes object to be used for
the visualization output. If none is specified, a new matplotlib
Figure will be created and used. Additionally, if specified there
will be no returned Figure since it is redundant.
initial_state (bool): Optional. Adds |0> in the beginning of the line.
Default: `False`.
cregbundle (bool): Optional. If set True bundle classical registers.
Default: ``True``.
wire_order (list): Optional. A list of integers used to reorder the display
of the bits. The list must have an entry for every bit with the bits
in the range 0 to (num_qubits + num_clbits).
Returns:
matplotlib.figure: a matplotlib figure object for the circuit diagram
if the ``ax`` kwarg is not set.
"""
qubits, clbits, nodes = utils._get_layered_instructions(
circuit,
reverse_bits=reverse_bits,
justify=justify,
idle_wires=idle_wires,
wire_order=wire_order,
)
if fold is None:
fold = 25
qcd = _matplotlib.MatplotlibDrawer(
qubits,
clbits,
nodes,
scale=scale,
style=style,
reverse_bits=reverse_bits,
plot_barriers=plot_barriers,
layout=None,
fold=fold,
ax=ax,
initial_state=initial_state,
cregbundle=cregbundle,
global_phase=None,
calibrations=None,
qregs=None,
cregs=None,
with_layout=with_layout,
circuit=circuit,
)
return qcd.draw(filename)
