V-Type Three-Level: √8π Sech Pulse, √8π Coupling
[1]:
import numpy as np
sech_fwhm_conv = 1.0 / 2.6339157938
t_width = 1.0 * sech_fwhm_conv # [τ]
print(np.sqrt(8))
print("t_width", t_width)
n = np.sqrt(8) # For a pulse area of nπ
ampl = n / t_width / (2 * np.pi) # Pulse amplitude [2π Γ]
print("ampl", ampl)
n = np.sqrt(8) # For a pulse area of nπ
ampl_2 = n / t_width / (2 * np.pi) # Pulse amplitude [2π Γ]
print("ampl_2", ampl_2)
2.8284271247461903
t_width 0.3796628587572578
ampl 1.1856786822710181
ampl_2 1.1856786822710181
[2]:
a = np.sqrt(8)
b = np.sqrt(8)
np.sqrt(a**2 + b**2)
[2]:
np.float64(4.0)
[3]:
mb_solve_json = """
{
"atom": {
"decays": [
{ "channels": [[0,1], [0,2]],
"rate": 0.0
}
],
"energies": [],
"fields": [
{
"coupled_levels": [[0, 1]],
"detuning": 0.0,
"detuning_positive": true,
"label": "probe",
"rabi_freq": 1.18567868227,
"rabi_freq_t_args":
{
"ampl": 1.0,
"centre": 0.0,
"width": 0.3796628587572578
},
"rabi_freq_t_func": "sech"
},
{
"coupled_levels": [[0, 2]],
"detuning": 0.0,
"detuning_positive": true,
"label": "coupling",
"rabi_freq": 1.18567868227,
"rabi_freq_t_args":
{
"ampl": 1.0,
"centre": 0.0,
"width": 0.3796628587572578
},
"rabi_freq_t_func": "sech"
}
],
"num_states": 3
},
"t_min": -2.0,
"t_max": 10.0,
"t_steps": 60,
"z_min": -0.2,
"z_max": 1.2,
"z_steps": 70,
"z_steps_inner": 1,
"interaction_strengths": [10.0, 10.0],
"savefile": "mbs-vee-sech-sqrt8pi-sqrt8pi"
}
"""
[4]:
from maxwellbloch import mb_solve
mb_solve_00 = mb_solve.MBSolve().from_json_str(mb_solve_json)
%time Omegas_zt, states_zt = mb_solve_00.mbsolve(recalc=True)
/home/docs/checkouts/readthedocs.org/user_builds/maxwellbloch/envs/v0.8.1/lib/python3.11/site-packages/qutip/solver/solver_base.py:598: FutureWarning: e_ops will be keyword only from qutip 5.3 for all solver
warnings.warn(
z-step 7/70 (10%)
z-step 14/70 (20%)
z-step 21/70 (30%)
z-step 28/70 (40%)
z-step 35/70 (50%)
z-step 42/70 (60%)
z-step 49/70 (70%)
z-step 56/70 (80%)
z-step 63/70 (90%)
Saving MBSolve to mbs-vee-sech-sqrt8pi-sqrt8pi.qu
CPU times: user 14.4 s, sys: 24.9 ms, total: 14.4 s
Wall time: 14.4 s
[5]:
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
sns.set_style("darkgrid")
fig = plt.figure(1, figsize=(16, 12))
# Probe
ax = fig.add_subplot(211)
cmap_range = np.linspace(0.0, 2.0, 11)
cf = ax.contourf(
mb_solve_00.tlist,
mb_solve_00.zlist,
np.abs(mb_solve_00.Omegas_zt[0] / (2 * np.pi)),
cmap_range,
cmap=plt.cm.Blues,
)
ax.set_title(r"Rabi Frequency ($\Gamma / 2\pi $)")
ax.set_ylabel("Distance ($L$)")
ax.text(
0.02,
0.95,
"Probe",
verticalalignment="top",
horizontalalignment="left",
transform=ax.transAxes,
color="grey",
fontsize=16,
)
plt.colorbar(cf)
# Coupling
ax = fig.add_subplot(212)
cmap_range = np.linspace(0.0, 2.0, 11)
cf = ax.contourf(
mb_solve_00.tlist,
mb_solve_00.zlist,
np.abs(mb_solve_00.Omegas_zt[1] / (2 * np.pi)),
cmap_range,
cmap=plt.cm.Greens,
)
ax.set_xlabel(r"Time ($1/\Gamma$)")
ax.set_ylabel("Distance ($L$)")
ax.text(
0.02,
0.95,
"Coupling",
verticalalignment="top",
horizontalalignment="left",
transform=ax.transAxes,
color="grey",
fontsize=16,
)
plt.colorbar(cf)
# Both
for ax in fig.axes:
for y in [0.0, 1.0]:
ax.axhline(y, c="grey", lw=1.0, ls="dotted")
plt.tight_layout()
[6]:
total_area = np.sqrt(
mb_solve_00.fields_area()[0] ** 2 + mb_solve_00.fields_area()[1] ** 2
)
fig, ax = plt.subplots(figsize=(16, 4))
ax.plot(
mb_solve_00.zlist,
mb_solve_00.fields_area()[0] / np.pi,
label="Probe",
clip_on=False,
)
ax.plot(
mb_solve_00.zlist,
mb_solve_00.fields_area()[1] / np.pi,
label="Coupling",
clip_on=False,
)
ax.plot(
mb_solve_00.zlist, total_area / np.pi, label="Total", ls="dashed", clip_on=False
)
ax.legend()
ax.set_ylim([0.0, 4.0])
ax.set_xlabel("Distance ($L$)")
ax.set_ylabel(r"Pulse Area ($\pi$)");