if __name__ == '__main__':
expt = expt_parameters.expt_parameters()
seq = Nop("seq")
msmt = Nop("measurement")
#
seq.comment = "rabi_ef_prep_f, sweep rabi detuning"
seq.num_patterns = 101
seq.sweep_time = 2000
seq.num_records_per_pattern = 200
seq.rabi_amp = 0.05
seq.times = np.linspace(0., seq.sweep_time, seq.num_patterns) * 1e-3
sweep = Nop("sweep")
sweep.comment = "rabi ssb freq near EP"
sweep.vals = np.linspace(-0.5, 0.5, 2) * 1e-3 + 0.092
# sweep.vals = np.linspace(-0.5, 0.5, 3)*1e-3 + expt_cal.ssm.ef
pop_3state = []
for idx, rabi_ssb_freq in enumerate(sweep.vals):
print(idx)
seq_experiments.rabi_ef_prep_f(seq.num_patterns, seq.sweep_time,
seq.rabi_amp, rabi_ssb_freq)
daq_params, rec_readout_vs_pats, p_readout = daq_programs.run_daq(
num_patterns=seq.num_patterns,
num_records_per_pattern=seq.num_records_per_pattern)
p_post = analysis.p_readout_postselected(p_readout)
pop_3state.append(p_readout)
# save_by_pickle((expt, seq, daq, msmt))
plt.plot(seq.times, p_readout[0])
plt.ylim([0, 1])
plt.show()
if __name__ == '__main__':
seq = Nop("seq")
expt_cal = seq_programs.get_expt_cal()
#
seq.comment = "rabi_ge, sweep wx amps"
seq.num_patterns = 101
seq.num_records_per_pattern = 200
seq.sweep_time = 1000
seq.times = np.linspace(0., seq.sweep_time, seq.num_patterns)*1e-3
#seq_experiments.rabi_ge(seq.num_patterns, seq.sweep_time)
#
sweep = Nop("sweep")
sweep.comment = "wx amps, ch1ch2"
sweep.vals = np.linspace(0.1, 1.1, 21)
sweep.num_steps = sweep.vals.size
#
daq = Nop("daq")
sweep.p = []
for step_num, v in enumerate(sweep.vals):
#
print("\nstep_num: {}".format(step_num))
#
amp = [v*1.5, v*1.77, 1.5, 1.5]
wx_programs.wx_set_and_amplitude_and_offset(amp=amp)
#
daq.daq_params, daq.rec_readout_vs_pats, daq.p_readout = daq_programs.run_daq(
expt_cal = seq_programs.get_expt_cal()
#
seq.comment = "rabi_ef, sweep wx amps"
seq.num_patterns = 101
seq.num_records_per_pattern = 200
seq.num_avgs = 1
seq.sweep_time = 2000
seq.rabi_amp = 0.5
seq.times = np.linspace(0., seq.sweep_time, seq.num_patterns)*1e-3
#seq_experiments.rabi_ef_prep_f(seq.num_patterns, seq.sweep_time, seq.rabi_amp)
#
sweep = Nop("sweep")
sweep.comment = "wx amps, ch1ch2"
sweep.vals = np.linspace(0.1, 0.3, 2)
sweep.num_steps = sweep.vals.size
#
sweep.p = []
sweep.p_post = []
for step_num, v in enumerate(sweep.vals):
#
print("\nstep_num: {}, sweep.val: {}".format(step_num, v))
#
amp = [v*1.5, v*1.77, 1.5, 1.5]
wx_programs.wx_set_and_amplitude_and_offset(amp=amp)
for k in range(seq.num_avgs):
#