57 lines
2.3 KiB
Plaintext
57 lines
2.3 KiB
Plaintext
---
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title: plot_state_paulivec
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description: API reference for qiskit.visualization.plot_state_paulivec
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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.plot_state_paulivec
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---
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# qiskit.visualization.plot\_state\_paulivec
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<Function id="qiskit.visualization.plot_state_paulivec" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.18/qiskit/visualization/state_visualization.py" signature="plot_state_paulivec(state, title='', figsize=None, color=None, ax=None, *, rho=None)">
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Plot the paulivec representation of a quantum state.
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Plot a bargraph of the mixed state rho over the pauli matrices
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**Parameters**
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* **state** ([*Statevector*](qiskit.quantum_info.Statevector "qiskit.quantum_info.Statevector") *or*[*DensityMatrix*](qiskit.quantum_info.DensityMatrix "qiskit.quantum_info.DensityMatrix") *or ndarray*) – an N-qubit quantum state.
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* **title** (*str*) – a string that represents the plot title
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* **figsize** (*tuple*) – Figure size in inches.
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* **color** (*list or str*) – Color of the expectation value bars.
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* **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.
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**Returns**
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The matplotlib.Figure of the visualization if the `ax` kwarg is not set
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**Return type**
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matplotlib.Figure
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**Raises**
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* [**MissingOptionalLibraryError**](qiskit.aqua.MissingOptionalLibraryError "qiskit.aqua.MissingOptionalLibraryError") – Requires matplotlib.
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* [**VisualizationError**](qiskit.visualization.VisualizationError "qiskit.visualization.VisualizationError") – if input is not a valid N-qubit state.
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**Example**
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```python
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from qiskit import QuantumCircuit
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from qiskit.quantum_info import Statevector
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from qiskit.visualization import plot_state_paulivec
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%matplotlib inline
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qc = QuantumCircuit(2)
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qc.h(0)
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qc.cx(0, 1)
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state = Statevector.from_instruction(qc)
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plot_state_paulivec(state, color='midnightblue',
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title="New PauliVec plot")
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```
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</Function>
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