62 lines
2.0 KiB
Plaintext
62 lines
2.0 KiB
Plaintext
---
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title: dag_drawer
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description: API reference for qiskit.visualization.dag_drawer
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in_page_toc_min_heading_level: 1
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python_api_type: function
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python_api_name: qiskit.visualization.dag_drawer
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---
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# qiskit.visualization.dag\_drawer
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<Function id="qiskit.visualization.dag_drawer" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.22/qiskit/visualization/dag_visualization.py" signature="dag_drawer(dag, scale=0.7, filename=None, style='color')">
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Plot the directed acyclic graph (dag) to represent operation dependencies in a quantum circuit.
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This function calls the `graphviz_draw()` function from the `retworkx` package to draw the DAG.
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**Parameters**
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* **dag** ([*DAGCircuit*](qiskit.dagcircuit.DAGCircuit "qiskit.dagcircuit.DAGCircuit")) – The dag to draw.
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* **scale** (*float*) – scaling factor
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* **filename** (*str*) – file path to save image to (format inferred from name)
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* **style** (*str*) – ‘plain’: B\&W graph ‘color’ (default): color input/output/op nodes
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**Returns**
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**if in Jupyter notebook and not saving to file,**
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otherwise None.
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**Return type**
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PIL.Image
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**Raises**
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* [**VisualizationError**](qiskit.visualization.VisualizationError "qiskit.visualization.VisualizationError") – when style is not recognized.
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* **InvalidFileError** – when filename provided is not valid
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**Example**
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```python
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%matplotlib inline
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from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
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from qiskit.dagcircuit import DAGCircuit
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from qiskit.converters import circuit_to_dag
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from qiskit.visualization import dag_drawer
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q = QuantumRegister(3, 'q')
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c = ClassicalRegister(3, 'c')
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circ = QuantumCircuit(q, c)
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circ.h(q[0])
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circ.cx(q[0], q[1])
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circ.measure(q[0], c[0])
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circ.rz(0.5, q[1]).c_if(c, 2)
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dag = circuit_to_dag(circ)
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dag_drawer(dag)
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```
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</Function>
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