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qiskit.visualization.dag_drawer

dag_drawer(dag, scale=0.7, filename=None, style='color')[source]

Plot the directed acyclic graph (dag) to represent operation dependencies in a quantum circuit.

This function calls the graphviz_draw() function from the retworkx package to draw the DAG.

Parameters
  • dag (DAGCircuit) -- The dag to draw.

  • scale (float) -- scaling factor

  • filename (str) -- file path to save image to (format inferred from name)

  • style (str) -- 'plain': B&W graph 'color' (default): color input/output/op nodes

Returns

if in Jupyter notebook and not saving to file,

otherwise None.

Return type

PIL.Image

Raises
  • VisualizationError -- when style is not recognized.

  • InvalidFileError -- when filename provided is not valid

Example

%matplotlib inline
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.dagcircuit import DAGCircuit
from qiskit.converters import circuit_to_dag
from qiskit.visualization import dag_drawer

q = QuantumRegister(3, 'q')
c = ClassicalRegister(3, 'c')
circ = QuantumCircuit(q, c)
circ.h(q[0])
circ.cx(q[0], q[1])
circ.measure(q[0], c[0])
circ.rz(0.5, q[1]).c_if(c, 2)

dag = circuit_to_dag(circ)
dag_drawer(dag)
../_images/qiskit.visualization.dag_drawer_0_0.png