File:QHO-squeezed-vacuum3dB-animation-color.gif

Uploaded by Geek3
Upload date 2015-10-10T21:19:59Z
MIME type image/gif
Dimensions 300 × 200 px
File size 284.1 KB

Summary

Description
English: Animation of the quantum wave function of a squeezed vacuum state in a Quantum harmonic oscillator with 3dB of squeezing. The probability distribution is drawn along the ordinate, while the phase is encoded by color. The gaussian wave packet oscillates between a squeezed and an anti-squeezed state.
Date
Source Own work
Author Geek3
Other versions
GIF development
InfoField
 This plot was created with Matplotlib.


Python Matplotlib source code
#!/usr/bin/python
# -*- coding: utf8 -*-

from math import *
import matplotlib.pyplot as plt
from matplotlib import animation, colors, colorbar
import numpy as np
import colorsys
from scipy.interpolate import interp1d
import os, sys

# image settings
fname = 'QHO-squeezed-vacuum3dB-animation-color'
plt.rc('path', snap=False)
plt.rc('mathtext', default='regular')
width, height = 300, 200
ml, mr, mt, mb, mh, mc = 35, 19, 22, 45, 12, 6
x0, x1 = -4.5, 4.5
y0, y1 = 0.0, 1.2
nframes = 120
fps = 20

# physics settings
omega = 2 * pi
xi0 = log(0.5) # 3dB of squeezing

def color(phase):
    hue = (phase / (2*pi) + 2./3.) % 1
    light = interp1d([0, 1, 2, 3, 4, 5, 6], # adjust lightness
                     [0.64, 0.5, 0.55, 0.48, 0.70, 0.57, 0.64])(6 * hue)
    hls = (hue, light, 1.0) # maximum saturation
    rgb = colorsys.hls_to_rgb(*hls)
    return rgb

def squeezed(xi0, x, omega_t):
    # Definition of squeezed states
    xi = xi0 * e**(-2j * omega_t)
    r = np.abs(xi)
    tr = tanh(r)
    kk = (r - tr * xi) / (r + tr * xi)
    psi = (kk.real/pi)**0.25 * np.exp(-0.5j * omega_t - 0.5 * x**2 * kk)
    return psi

def animate(nframe):
    print str(nframe) + ' ',; sys.stdout.flush()
    t = float(nframe) / nframes * 2.0 # animation repeats after t=2.0
    
    ax.cla()
    ax.grid(True)
    ax.axis((x0, x1, y0, y1))
    
    x = np.linspace(x0, x1, int(ceil(1+w_px)))
    x2 = x - px_w/2.
    
    psi = squeezed(xi0, x, omega*t)
    psi2 = squeezed(xi0, x2, omega*t)
    
    y = np.abs(psi)**2
    phase = np.angle(psi2)
    
    # plot color filling
    for x_, phase_, y_ in zip(x, phase, y):
        ax.plot([x_, x_], [0, y_], color=color(phase_), lw=2*0.72)
    
    ax.plot(x, y, lw=2, color='black')
    ax.set_yticklabels([l for l in ax.get_yticks() if l < y0+0.9*(y1-y0)])
    

# create figure and axes
plt.close('all')
fig, ax = plt.subplots(1, figsize=(width/100., height/100.))
bounds = [float(ml)/width, float(mb)/height,
          1.0 - float(mr+mc+mh)/width, 1.0 - float(mt)/height]
fig.subplots_adjust(left=bounds[0], bottom=bounds[1],
                    right=bounds[2], top=bounds[3], hspace=0)
w_px = width - (ml+mr+mh+mc) # plot width in pixels
px_w = float(x1 - x0) / w_px # width of one pixel in plot units

# axes labels
fig.text(0.5 + 0.5 * float(ml-mh-mc-mr)/width, 4./height,
         r'$x\ \ [(\hbar/(m\omega))^{1/2}]$', ha='center')
fig.text(5./width, 1.0, '$|\psi|^2$', va='top')

# colorbar for phase
cax = fig.add_axes([1.0 - float(mr+mc)/width, float(mb)/height,
                    float(mc)/width, 1.0 - float(mb+mt)/height])
cax.yaxis.set_tick_params(length=2)
cmap = colors.ListedColormap([color(phase) for phase in
                              np.linspace(0, 2*pi, height, endpoint=False)])
norm = colors.Normalize(0, 2*pi)
cbar = colorbar.ColorbarBase(cax, cmap=cmap, norm=norm,
                    orientation='vertical', ticks=np.linspace(0, 2*pi, 3))
cax.set_yticklabels(['$0$', r'$\pi$', r'$2\pi$'], rotation=90)
fig.text(1.0 - 10./width, 1.0, '$arg(\psi)$', ha='right', va='top')
plt.sca(ax)

# start animation
if 0 != os.system('convert -version > ' +  os.devnull):
    print 'imagemagick not installed!'
    # warning: imagemagick produces somewhat jagged and therefore large gifs
    anim = animation.FuncAnimation(fig, animate, frames=nframes)
    anim.save(fname + '.gif', writer='imagemagick', fps=fps)
else:
    # unfortunately the matplotlib imagemagick backend does not support
    # options which are necessary to generate high quality output without
    # framewise color palettes. Therefore save all frames and convert then.
    if not os.path.isdir(fname):
        os.mkdir(fname)
    fnames = []
    
    for frame in range(nframes):
        animate(frame)
        imgname = os.path.join(fname, fname + '{:03d}'.format(frame) + '.png')
        fig.savefig(imgname)
        fnames.append(imgname)
    
    # compile optimized animation with ImageMagick
    cmd = 'convert -loop 0 -delay ' + str(100 / fps) + ' '
    cmd += ' '.join(fnames) # now create optimized palette from all frames
    cmd += r' \( -clone 0--1 \( -clone 0--1 -fill black -colorize 100% \) '
    cmd += '-append +dither -colors 255 -unique-colors '
    cmd += '-write mpr:colormap +delete \) +dither -map mpr:colormap '
    cmd += '-alpha activate -layers OptimizeTransparency '
    cmd += fname + '.gif'
    os.system(cmd)
    
    for fnamei in fnames:
        os.remove(fnamei)
    os.rmdir(fname)

Licensing

I, the copyright holder of this work, hereby publish it under the following licenses:
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.
w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 3.0 Unported license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
You may select the license of your choice.

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10 October 2015