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# qiskit.visualization.plot_state_qsphere

`qiskit.visualization.plot_state_qsphere(state, figsize=None, ax=None, show_state_labels=True, show_state_phases=False, use_degrees=False, *, filename=None)`

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Plot the qsphere representation of a quantum state. Here, the size of the points is proportional to the probability of the corresponding term in the state and the color represents the phase.

Parameters

• state (Statevector orDensityMatrix or ndarray) – an N-qubit quantum state.
• figsize (tuple) – Figure size in inches.
• 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.
• show_state_labels (bool) – An optional boolean indicating whether to show labels for each basis state.
• show_state_phases (bool) – An optional boolean indicating whether to show the phase for each basis state.
• use_degrees (bool) – An optional boolean indicating whether to use radians or degrees for the phase values in the plot.

Returns

A matplotlib figure instance if the `ax` kwarg is not set

Return type

`matplotlib.figure.Figure`

Raises

Examples

``````from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_state_qsphere

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

state = Statevector(qc)
plot_state_qsphere(state)``````
``````# You can show the phase of each state and use
# degrees instead of radians

from qiskit.quantum_info import DensityMatrix
import numpy as np
from qiskit import QuantumCircuit
from qiskit.visualization import plot_state_qsphere

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

matrix = DensityMatrix(qc)
plot_state_qsphere(matrix,
show_state_phases = True, use_degrees = True)``````
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