"""
Control Amplitude Noise
=======================

This example demonstrates how to add Gaussian noise to the control pulse.
"""
import numpy as np
import matplotlib.pyplot as plt
from qutip.qip.device import Processor
from qutip.qip.noise import RandomNoise
from qutip.operators import sigmaz, sigmay

# add control Hamiltonians
processor = Processor(N=1)
processor.add_control(sigmaz(), targets=0)

# define pulse coefficients and tlist for all pulses
processor.pulses[0].coeff = np.array([0.3, 0.5, 0. ])
processor.set_all_tlist(np.array([0., np.pi/2., 2*np.pi/2, 3*np.pi/2]))

# define noise, loc and scale are keyword arguments for np.random.normal
gaussnoise = RandomNoise(
            dt=0.01, rand_gen=np.random.normal, loc=0.00, scale=0.02)
processor.add_noise(gaussnoise)

# Plot the ideal pulse
processor.plot_pulses(title="Original control amplitude", figsize=(5,3))

# Plot the noisy pulse
qobjevo, _ = processor.get_qobjevo(noisy=True)
noisy_coeff = qobjevo.to_list()[1][1] + qobjevo.to_list()[2][1]
fig2, ax2 = processor.plot_pulses(title="Noisy control amplitude", figsize=(5,3))
ax2.step(qobjevo.tlist, noisy_coeff)

"""
Control Amplitude Noise
=======================

This example demonstrates how to add Gaussian noise to the control pulse.
"""
import numpy as np
import matplotlib.pyplot as plt
from qutip.qip.device import Processor
from qutip.qip.noise import RandomNoise
from qutip.operators import sigmaz, sigmay

# add control Hamiltonians
processor = Processor(N=1)
processor.add_control(sigmaz(), targets=0)

# define pulse coefficients and tlist for all pulses
processor.pulses[0].coeff = np.array([0.3, 0.5, 0. ])
processor.set_all_tlist(np.array([0., np.pi/2., 2*np.pi/2, 3*np.pi/2]))

# define noise, loc and scale are keyword arguments for np.random.normal
gaussnoise = RandomNoise(
            dt=0.01, rand_gen=np.random.normal, loc=0.00, scale=0.02)
processor.add_noise(gaussnoise)

# Plot the ideal pulse
processor.plot_pulses(title="Original control amplitude", figsize=(5,3))

# Plot the noisy pulse
qobjevo, _ = processor.get_qobjevo(noisy=True)
noisy_coeff = qobjevo.to_list()[1][1] + qobjevo.to_list()[2][1]
fig2, ax2 = processor.plot_pulses(title="Noisy control amplitude", figsize=(5,3))
ax2[0].step(qobjevo.tlist, noisy_coeff)

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