qiskit.visualization.plot_state_paulivec

plot_state_paulivec(state, title='', figsize=None, color=None, ax=None, *, rho=None, filename=None)

Plot the paulivec representation of a quantum state.

Plot a bargraph of the mixed state rho over the pauli matrices

Parameters

• state (Statevector or DensityMatrix or ndarray) -- an N-qubit quantum state.

• title (str) -- a string that represents the plot title

• figsize (tuple) -- Figure size in inches.

• color (list or str) -- Color of the expectation value bars.

• 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

The matplotlib.Figure of the visualization if the ax kwarg is not set

Return type

matplotlib.Figure

Raises

• MissingOptionalLibraryError -- Requires matplotlib.

• VisualizationError -- if input is not a valid N-qubit state.

Examples

# You can set a color for all the bars.

from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_state_paulivec

qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)

state = Statevector(qc)
plot_state_paulivec(state, color='midnightblue', title="New PauliVec plot")

# If you introduce a list with less colors than bars, the color of the bars will
# alternate following the sequence from the list.

import numpy as np
from qiskit.quantum_info import DensityMatrix

qc = QuantumCircuit(2)
qc.h([0, 1])
qc.cz(0, 1)
qc.ry(np.pi/3, 0)
qc.rx(np.pi/5, 1)

matrix = DensityMatrix(qc)
plot_state_paulivec(matrix, color=['crimson', 'midnightblue', 'seagreen'])