plot_state_city

plot_state_city(rho, title='', figsize=None, color=None, alpha=1, ax_real=None, ax_imag=None)

Plot the cityscape of quantum state.

Plot two 3d bar graphs (two dimensional) of the real and imaginary part of the density matrix rho.

Parameters

• rho (ndarray) – Numpy array for state vector or density matrix.
• title (str) – a string that represents the plot title
• figsize (tuple) – Figure size in inches.
• color (list) – A list of len=2 giving colors for real and imaginary components of matrix elements.
• alpha (float) – Transparency value for bars
• ax_real (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. If this is specified without an ax_imag only the real component plot will be generated. Additionally, if specified there will be no returned Figure since it is redundant.
• ax_imag (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. If this is specified without an ax_imag only the real component plot will be generated. Additionally, if specified there will be no returned Figure since it is redundant.

Returns

The matplotlib.Figure of the visualization if the ax_real and ax_imag kwargs are not set

Return type

matplotlib.Figure

Raises

• ImportError – Requires matplotlib.
• ValueError – When ‘color’ is not a list of len=2.

Example

from qiskit import QuantumCircuit, BasicAer, execute
from qiskit.visualization import plot_state_city
%matplotlib inline
 
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])
 
backend = BasicAer.get_backend('statevector_simulator')
job = execute(qc, backend).result()
plot_state_city(job.get_statevector(qc), color=['midnightblue', 'midnightblue'],
     title="New State City")