def bloch_field(self, time):
"""
Plot magnetic field vector normalised to the bloch sphere
"""
# seperate coordinates into axis set
xb = self.fields[0](time)
yb = self.fields[1](time)
zb = self.fields[2](time)
# add to list and normalise
points = [list(xb), list(yb), list(zb)]
sqsum = 0.0
for i, point in enumerate(points[0]):
# compute magnitude and store largest value
sqsum_test = np.sqrt(points[0][i]**2 + points[1][i]**2 +
points[2][i]**2)
if sqsum_test > sqsum:
sqsum = sqsum_test
points = points / sqsum
# create Bloch sphere instance
bloch = Bloch()
# add points and show
bloch.add_points(points)
bloch.show()
def plot_quantum_state(amplitudes):
"""
Thin function to abstract the plotting on the Bloch sphere.
"""
bloch_sphere = Bloch()
vec = get_vector(amplitudes[0], amplitudes[1])
bloch_sphere.add_vectors(vec)
bloch_sphere.show()
bloch_sphere.clear()
def bloch_plot(self, points=None, F=None):
"""
Plot the current state on the Bloch sphere using
qutip.
"""
# create instance of 3d plot
bloch = Bloch(figsize=[9, 9])
bloch.add_vectors([0, 0, 1])
bloch.xlabel = ['$<F_x>$', '']
bloch.ylabel = ['$<F_y>$', '']
bloch.zlabel = ['$<F_z>$', '']
if self.spin == 'half':
if points is None:
# convert current state into density operator
rho = np.outer(self.state.H, self.state)
# get Bloch vector representation
points = self.get_bloch_vec(rho)
# Can only plot systems of dimension 2 at this time
assert len(
points
) == 3, "System dimension must be spin 1/2 for Bloch sphere plot"
# create instance of 3d plot
bloch = Bloch(figsize=[9, 9])
elif self.spin == 'one':
#points is list of items in format [[x1,x2],[y1,y2],[z1,z2]]
if points is None:
points = [getStars(self.state)]
bloch.point_color = ['g', 'r',
'b'] #ensures point and line are same colour
bloch.point_marker = ['o', 'd', 'o']
#bloch.point_color = ['g','r'] #ensures point and line are same colour
#bloch.point_marker = ['o','d']
for p in points:
bloch.add_points([p[0][0], p[1][0], p[2][0]])
bloch.add_points([p[0][1], p[1][1], p[2][1]])
bloch.add_points(p, meth='l')
'''
bloch.point_color = ['b','b'] #ensures point and line are same colour
bloch.point_marker = ['o','o']
for p in points:
bloch.add_points(p)
bloch.add_points(p, meth='l')
'''
# add state
#bloch.render(bloch.fig, bloch.axes)
#bloch.fig.savefig("bloch.png",dpi=600, transparent=True)
bloch.show()
def PlotStateAnalyzer(InputState, hwpAngle, qwpAngle):
QWPstate = QWP(qwpAngle) @ InputState
OutputState = HWP(hwpAngle) @ QWP(qwpAngle) @ InputState
pntsX = [
StateToBloch(QWP(th) @ InputState)[0] for th in arange(0, pi, pi / 64)
]
pntsY = [
StateToBloch(QWP(th) @ InputState)[1] for th in arange(0, pi, pi / 64)
]
pntsZ = [
StateToBloch(QWP(th) @ InputState)[2] for th in arange(0, pi, pi / 64)
]
pnts = [pntsX, pntsY, pntsZ]
pntsX2 = [
StateToBloch(HWP(th) @ QWP(qwpAngle) @ InputState)[0]
for th in arange(0, pi, pi / 64)
]
pntsY2 = [
StateToBloch(HWP(th) @ QWP(qwpAngle) @ InputState)[1]
for th in arange(0, pi, pi / 64)
]
pntsZ2 = [
StateToBloch(HWP(th) @ QWP(qwpAngle) @ InputState)[2]
for th in arange(0, pi, pi / 64)
]
pnts2 = [pntsX2, pntsY2, pntsZ2]
bsph = Bloch()
bsph.add_points(pnts)
bsph.add_points(pnts2)
bsph.add_vectors(StateToBloch(OutputState))
bsph.add_vectors(StateToBloch(InputState))
bsph.add_vectors(StateToBloch(QWPstate))
return bsph.show()
def field_plot(self, params, bloch=[False, 1]):
"""
Plots the signal components given simulation parameters over the specified time doman
"""
# get time varying fields and simulation data
time, cparams, Bfields = field_get(params=params)
# plot magnetic field vector on Bloch sphere
if bloch[0]:
Bfields = Bfields[::bloch[1], :]
# normalise each magnetic field vector
for i in range(len(Bfields)):
norm = np.sqrt(Bfields[i, 0]**2 + Bfields[i, 1]**2 +
Bfields[i, 2]**2)
Bfields[i, 0] /= norm
Bfields[i, 1] /= norm
Bfields[i, 2] /= norm
# extract x,y,z fields
Bx = Bfields[:, 0]
By = Bfields[:, 1]
Bz = Bfields[:, 2]
# define bloch object
b = Bloch()
b.add_points([Bx, By, Bz])
b.show()
else:
# plot fields
fig, ax = plt.subplots(nrows=3, ncols=1, sharex=True, sharey=False)
for i, row in enumerate(ax):
# plot each component, skipping zero time value
row.plot(time, Bfields[:, i])
row.set_title("Field vector along {} axis".format(
['x', 'y', 'z'][i]))
plt.ylabel('Frequency (Hz)')
plt.xlabel("Time (s)")
#plt.ylabel("Ampltiude ($Hz/Gauss$)")
plt.show()
def bloch_plot(self, points=None):
"""
Plot the current state on the Bloch sphere using
qutip.
"""
if points is None:
# convert current state into density operator
rho = np.outer(self.state.H, self.state)
# get Bloch vector representation
points = self.get_bloch_vec(rho)
# Can only plot systems of dimension 2 at this time
assert len(
points
) == 3, "System dimension must be spin 1/2 for Bloch sphere plot"
# create instance of 3d plot
bloch = Bloch(figsize=[9, 9])
# add state
bloch.add_points(points)
bloch.add_vectors([0, 0, 1])
bloch.render(bloch.fig, bloch.axes)
bloch.fig.savefig("bloch.png", dpi=600, transparent=True)
bloch.show()
def PlotStateQWP(InputState, qwpAngle):
OutputState = QWP(qwpAngle) @ InputState
pntsX = [
StateToBloch(QWP(th) @ InputState)[0] for th in arange(0, pi, pi / 64)
]
pntsY = [
StateToBloch(QWP(th) @ InputState)[1] for th in arange(0, pi, pi / 64)
]
pntsZ = [
StateToBloch(QWP(th) @ InputState)[2] for th in arange(0, pi, pi / 64)
]
pnts = [pntsX, pntsY, pntsZ]
bsph = Bloch()
bsph.add_points(pnts)
bsph.add_vectors(StateToBloch(OutputState))
bsph.add_vectors(StateToBloch(InputState))
return bsph.show()
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jul 30 12:26:48 2019 @author: banano """ # from qutip import Bloch, Bloch3d b1 = Bloch() vec = [0,1,0] b1.add_vectors(vec) b1.vector_color = ['k'] b2 = Bloch() vec = [0,0,1] b2.add_vectors(vec) b2.vector_color = ['r'] b2.show() b1.show()
# um nicht immer numpy schreiben zu muessen
import numpy as np
# importieren der Python eigene Mathematik Library
import math
# Beispielseite zu qutip
# http://qutip.org/docs/3.1.0/guide/guide-bloch.html
# %% -1-
# Bloch() erzeugt eine Bloch
# mit b verweisen wir spaeter auf diese
b = Bloch()
# b.show() zeigt die aktuelle Blochkugel an
b.show()
print('-1-')
input('Press ENTER to continue.'
) # Ansonst wird Fenster sofort wieder geschlossen bzw. ueberschrieben.
# %% -2-
# hinzufuegen eines Vektor
# x,y,z
v = [1, 0, 0] # dazu geben wir einen Vektor in die x-Richtung an
b.add_vectors(
v) # mit b.add_vectors wird der Vektor v der Blochkugel hinzugefuegt
b.show()
print('-2-')
input('Press ENTER to continue.')
# %% -3-
def PlotBlochState(state):
bsph = Bloch()
bsph.add_vectors(StateToBloch(state))
return bsph.show()