def test_rabi(self):
"""
make sure the rabi function will create a schedule
"""
rabi, xdata = rabi_schedules(np.linspace(-1, 1, 10), [0, 1],
10,
2.5,
drives=self.system.drives,
cmd_def=self.cmd_def,
meas_map=self.meas_map)
self.assertEqual(len(rabi), 10)
self.assertEqual(len(xdata), 10)
def test_rabi(self):
"""
make sure the rabi function will create a schedule
"""
rabi, xdata = rabi_schedules(
np.linspace(-1, 1, 10), [0, 1],
10,
2.5,
drives=[self.config.drive(i) for i in range(self.n_qubits)],
inst_map=self.inst_map,
meas_map=self.meas_map)
self.assertEqual(len(rabi), 10)
self.assertEqual(len(xdata), 10)
# Approximation with pi/2 pulse:
# In particular for {\displaystyle t={\frac {\pi }{2\omega _{1}}}}t={\frac {\pi }{2\omega _{1}}}, we have a {\displaystyle {\frac {\pi }{2}}}{\frac {\pi }{2}} pulse, which acts as: {\displaystyle |0\rangle \to {\frac {|0\rangle +i|1\rangle }{\sqrt {2}}}}{\displaystyle |0\rangle \to {\frac {|0\rangle +i|1\rangle }{\sqrt {2}}}}.
# The equations are essentially identical in the case of a two level atom in the field of a laser when the generally well satisfied rotating wave approximation is made. Then {\displaystyle \hbar \omega _{0}}\hbar \omega _{0} is the energy difference between the two atomic levels, {\displaystyle \omega }\omega is the frequency of laser wave and Rabi frequency {\displaystyle \omega _{1}}\omega _{1} is proportional to the product of the transition electric dipole moment of atom {\displaystyle {\vec {d}}}{\vec {d}} and electric field {\displaystyle {\vec {E}}}{\vec {E}} of the laser wave that is {\displaystyle \omega _{1}\propto \hbar \ {\vec {d}}\cdot {\vec {E}}}{\displaystyle \omega _{1}\propto \hbar \ {\vec {d}}\cdot {\vec {E}}}.
# pre-run the models for
# experiments
drive_amps = np.linspace(0, 0.9, 3*meas_sigma)
drive_sigma = meas_sigma**2
drive_duration = int(8*drive_sigma)
drive_channels = [pulse.DriveChannel(0), pulse.DriveChannel(1)]
rabi_experiments0, rabi_amps0 = rabi_schedules(amp_list=drive_amps,
qubits=qubits,
pulse_width=drive_duration,
pulse_sigma=drive_sigma,
drives=drive_channels,
inst_map=inst_map,
meas_map=[[0, 1]])
rabi_experiments0[10].draw()
#ground_freq_sweep_job = backend.run(ground_freq_sweep_program)
#print(ground_freq_sweep_job.job_id())
#job_monitor(ground_freq_sweep_job)
# Get the job data (average)
#ground_freq_sweep_data = get_job_data(ground_freq_sweep_job, average=True)
#To simulate the Rabi experiments, assemble the Schedule list into a qobj. When assembling, pass the PulseSimulator as the backend.#To simulate the Rabi experiments, assemble the Schedule list into a qobj. When assembling, pass the PulseSimulator as the backend.
# instantiate the pulse simulator
#backend_sim = PulseSimulator()
# Approximation with pi/2 pulse:
# In particular for {\displaystyle t={\frac {\pi }{2\omega _{1}}}}t={\frac {\pi }{2\omega _{1}}}, we have a {\displaystyle {\frac {\pi }{2}}}{\frac {\pi }{2}} pulse, which acts as: {\displaystyle |0\rangle \to {\frac {|0\rangle +i|1\rangle }{\sqrt {2}}}}{\displaystyle |0\rangle \to {\frac {|0\rangle +i|1\rangle }{\sqrt {2}}}}.
# The equations are essentially identical in the case of a two level atom in the field of a laser when the generally well satisfied rotating wave approximation is made. Then {\displaystyle \hbar \omega _{0}}\hbar \omega _{0} is the energy difference between the two atomic levels, {\displaystyle \omega }\omega is the frequency of laser wave and Rabi frequency {\displaystyle \omega _{1}}\omega _{1} is proportional to the product of the transition electric dipole moment of atom {\displaystyle {\vec {d}}}{\vec {d}} and electric field {\displaystyle {\vec {E}}}{\vec {E}} of the laser wave that is {\displaystyle \omega _{1}\propto \hbar \ {\vec {d}}\cdot {\vec {E}}}{\displaystyle \omega _{1}\propto \hbar \ {\vec {d}}\cdot {\vec {E}}}.
#experiments
meas_amps = np.linspace(0, 0.9, 48)
meas_sigma = 16
meas_duration = 128
meas_channels = [pulse.DriveChannel(0), pulse.DriveChannel(1)]
rabi_experiments, rabi_amps = rabi_schedules(amp_list=meas_amps,
qubits=qubits,
pulse_width=meas_duration,
pulse_sigma=meas_sigma,
drives=meas_channels,
inst_map=inst_map,
meas_map=[[0, 1]])
rabi_experiments[10].draw()
#ground_freq_sweep_job = backend.run(ground_freq_sweep_program)
#print(ground_freq_sweep_job.job_id())
#job_monitor(ground_freq_sweep_job)
# Get the job data (average)
#ground_freq_sweep_data = get_job_data(ground_freq_sweep_job, average=True)
#To simulate the Rabi experiments, assemble the Schedule list into a qobj. When assembling, pass the PulseSimulator as the backend.#To simulate the Rabi experiments, assemble the Schedule list into a qobj. When assembling, pass the PulseSimulator as the backend.
# instantiate the pulse simulator
backend_sim = PulseSimulator()