def plot_SH(state_0, state_1, filename = None):
# state_0 : statevector of denoised state
# state_1 : statevector of noisy state
# filename : whether to save figure and figure name
fig = plt.figure(figsize=(15,10))
plt.axis("off")
ax1 = fig.add_subplot(2, 2, 1)
ax2 = fig.add_subplot(2, 2, 2)
ax3 = fig.add_subplot(2, 2, 3)
ax4 = fig.add_subplot(2, 2, 4)
plot_state_hinton(state_1, ax_real = ax1, ax_imag = ax2)
plot_state_hinton(state_0, ax_real = ax3, ax_imag = ax4)
if filename != None:
plt.savefig(filename + '.pdf', bbox_inches = 'tight')
def qonduit_visualization_state_plot_state_hinton(state):
return interactive(lambda sv: display(plot_state_hinton(sv)),
sv=fixed(state))
plot_histogram([counts, second_counts], legend=legend)
plot_histogram([counts, second_counts],
legend=legend,
sort='desc',
figsize=(15, 12),
color=['orange', 'black'],
bar_labels=False)
from qiskit.visualization import plot_state_city, plot_bloch_multivector
from qiskit.visualization import plot_state_paulivec, plot_state_hinton
from qiskit.visualization import plot_state_qsphere
backend = BasicAer.get_backend('statevector_simulator')
result = execute(bell, backend).result()
psi = result.get_statevector(bell)
plot_state_city(psi)
plot_state_hinton(psi)
plot_state_qsphere(psi)
plot_state_paulivec(psi)
plot_bloch_multivector(psi)
plot_state_city(psi, title="My City", color=['black', 'orange'])
plot_state_hinton(psi, title="My Hinton")
# Get basis gates from noise model
basis_gates = noise_model.basis_gates
# Make a circuit
circ = QuantumCircuit(3, 3)
circ.h(0)
circ.cx(0, 1)
circ.cx(1, 2)
circ.measure([0, 1, 2], [0, 1, 2])
# execute the quantum circuit
result = execute(
circ,
Aer.get_backend("statevector_simulator"),
basis_gates=basis_gates,
noise_model=noise_model,
).result()
psi = result.get_statevector(circ)
counts = result.get_counts(0)
circ.draw(output="mpl")
plt.show()
plot_state_city(psi)
plot_state_hinton(psi)
plot_state_qsphere(psi)
plot_state_paulivec(psi)
plot_bloch_multivector(psi)
plot_histogram(counts, color="c")