def __init__(self,
major_sweep_function,
minor_sweep_function,
major_values,
name=None,
parameter_name=None,
unit=None):
super().__init__()
self.major_sweep_function = \
mc_parameter_wrapper.wrap_par_to_swf(major_sweep_function) \
if isinstance(major_sweep_function, qcodes.Parameter) \
else major_sweep_function
self.minor_sweep_function = \
mc_parameter_wrapper.wrap_par_to_swf(minor_sweep_function) \
if isinstance(minor_sweep_function, qcodes.Parameter) \
else minor_sweep_function
if self.major_sweep_function.sweep_control != 'soft' or \
self.minor_sweep_function.sweep_control != 'soft':
raise ValueError('Offset_Sweep: Only software sweeps supported')
self.sweep_control = 'soft'
self.major_values = np.array(major_values)
self.parameter_name = self.major_sweep_function.parameter_name \
if parameter_name is None else parameter_name
self.name = self.major_sweep_function.name if name is None else name
self.unit = self.major_sweep_function.unit if unit is None else unit
def measure_pulsed_spectroscopy(self, freqs, mode='ROGated_SpecGate', MC=None,
analyze=True, close_fig=True, force_load=False):
# This is a trick so I can reuse the heterodyne instr
# to do pulsed-spectroscopy
self.heterodyne_instr._disable_auto_seq_loading = True
if mode=='ROMod_SpecGated':
if ('Pulsed_spec_with_RF_mod' not in self.AWG.setup_filename.get()) or force_load:
st_seqs.Pulsed_spec_seq_RF_mod(
IF=self.f_RO_mod.get(),
spec_pulse_length=spec_pulse_length, marker_interval=30e-6,
RO_pulse_delay=self.RO_pulse_delay.get())
elif mode=='ROGated_SpecGate':
if ('Pulsed_spec_with_RF_gated' not in self.AWG.setup_filename.get()) or force_load:
st_seqs.Pulsed_spec_seq_RF_gated(self.RO_pars,
self.pulse_pars)
else:
NotImplementedError('Pulsed Spec mode not supported. Only ROMod_SpecGated and ROGated_SpecGate are avaible right now.\n')
self.cw_source.pulsemod_state.set('on')
self.cw_source.power.set(self.spec_pow_pulsed.get())
self.AWG.start()
if hasattr(self.heterodyne_instr, 'mod_amp'):
self.heterodyne_instr.set('mod_amp', self.mod_amp_cw.get())
else:
self.heterodyne_instr.RF.power(self.RO_power_cw())
MC.set_sweep_function(pw.wrap_par_to_swf(
self.cw_source.frequency))
MC.set_sweep_points(freqs)
MC.set_detector_function(det.Heterodyne_probe(self.heterodyne_instr))
MC.run(name='pulsed-spec'+self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def measure_spectroscopy(self,
freqs,
pulsed=False,
MC=None,
analyze=True,
close_fig=True,
mode='ROGated_SpecGate',
force_load=False):
self.prepare_for_continuous_wave()
self.cw_source.on()
if MC is None:
MC = self.MC
if pulsed:
# Redirect to the pulsed spec function
return self.measure_pulsed_spectroscopy(freqs=freqs,
MC=MC,
analyze=analyze,
close_fig=close_fig,
mode=mode,
force_load=force_load)
MC.set_sweep_function(pw.wrap_par_to_swf(self.cw_source.frequency))
MC.set_sweep_points(freqs)
MC.set_detector_function(
det.Heterodyne_probe(self.heterodyne_instr,
trigger_separation=2.8e-6))
MC.run(name='spectroscopy' + self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
self.cw_source.off()
def measure_spectroscopy(self, freqs, pulsed=False, MC=None,
analyze=True, close_fig=True, mode='ROGated_SpecGate',
force_load=True, use_max=False, update=True):
self.prepare_for_continuous_wave()
self.cw_source.on()
if MC is None:
MC = self.MC
if pulsed:
# Redirect to the pulsed spec function
return self.measure_pulsed_spectroscopy(freqs=freqs,
MC=MC,
analyze=analyze,
close_fig=close_fig,
update=update,
upload=force_load)
MC.set_sweep_function(pw.wrap_par_to_swf(
self.cw_source.frequency))
MC.set_sweep_points(freqs)
MC.set_detector_function(
det.Heterodyne_probe(self.heterodyne_instr, trigger_separation=2.8e-6))
MC.run(name='spectroscopy'+self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
self.cw_source.off()
def measure_spectroscopy(self, freqs, pulsed=False, MC=None,
analyze=True, close_fig=True,
force_load=True, use_max=False, update=True):
self.prepare_for_continuous_wave()
self.cw_source.get_instr().on()
if MC is None:
MC = self.MC.get_instr()
if pulsed:
# Redirect to the pulsed spec function
return self.measure_pulsed_spectroscopy(freqs=freqs,
MC=MC,
analyze=analyze,
close_fig=close_fig,
update=update,
upload=force_load)
MC.set_sweep_function(pw.wrap_par_to_swf(
self.cw_source.get_instr().frequency, retrieve_value=True))
MC.set_sweep_points(freqs)
MC.set_detector_function(
det.Heterodyne_probe(
self.heterodyne_instr.get_instr(),
trigger_separation=5e-6 + self.RO_acq_integration_length(),
RO_length=self.RO_acq_integration_length()))
MC.run(name='spectroscopy'+self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
self.cw_source.get_instr().off()
def measure_spectroscopy(self,
freqs=None,
MC=None,
analyze=True,
close_fig=True,
update=False):
""" Varies qubit drive frequency and measures the resonator
transmittance """
if freqs is None:
raise ValueError("Unspecified frequencies for "
"measure_spectroscopy and no previous value")
if MC is None:
MC = self.MC
self.prepare_for_continuous_wave()
self.cw_source.on()
MC.set_sweep_function(pw.wrap_par_to_swf(self.cw_source.frequency))
MC.set_sweep_points(freqs)
MC.set_detector_function(
det.Heterodyne_probe(self.heterodyne_instr,
trigger_separation=2.8e-6,
demod_mode='single'))
MC.run(name='spectroscopy' + self.msmt_suffix)
self.cw_source.off()
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def measure_heterodyne_spectroscopy(self,
freqs=None,
MC=None,
analyze=True,
close_fig=True):
""" Varies the frequency of the microwave source to the resonator and
measures the transmittance """
if freqs is None:
raise ValueError("Unspecified frequencies for measure_heterodyne_"
"spectroscopy")
if MC is None:
MC = self.MC
previous_freq = self.heterodyne_instr.frequency()
self.prepare_for_continuous_wave()
MC.set_sweep_function(
pw.wrap_par_to_swf(self.heterodyne_instr.frequency))
MC.set_sweep_points(freqs)
MC.set_detector_function(
det.Heterodyne_probe(self.heterodyne_instr,
trigger_separation=5e-6,
demod_mode='single'))
MC.run(name='resonator_scan' + self.msmt_suffix)
self.heterodyne_instr.frequency(previous_freq)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def measure_rabi(self,
amps,
n=1,
MC=None,
analyze=True,
close_fig=True,
verbose=False):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
cal_points = [0, 0]
amps = cal_points + list(amps)
self.CBox.AWG0_mode('Codeword-trigger mode')
self.CBox.AWG1_mode('Codeword-trigger mode')
self.CBox.AWG2_mode('Codeword-trigger mode')
self.CBox.set_master_controller_working_state(0, 0, 0)
self.CBox.load_instructions('CBox_v3_test_program\Rabi.asm')
self.CBox.set_master_controller_working_state(1, 0, 0)
MC.set_sweep_function(pw.wrap_par_to_swf(self.LutMan.amp180))
MC.set_sweep_points(amps)
MC.set_detector_function(
det.CBox_v3_single_int_avg_with_LutReload(
self.CBox, self.LutMan, awg_nrs=[self.awg_nr.get()]))
MC.run('Rabi-n{}'.format(n) + self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def measure_resonator_dac(self, freqs, dac_voltages,
MC=None, analyze=True, close_fig=True):
self.prepare_for_continuous_wave()
if MC is None:
MC = self.MC
MC.set_sweep_functions(
[pw.wrap_par_to_swf(self.heterodyne_instr.frequency),
pw.wrap_par_to_swf(
self.IVVI['dac{}'.format(self.dac_channel.get())])
])
MC.set_sweep_points(freqs)
MC.set_sweep_points_2D(dac_voltages)
MC.set_detector_function(det.Heterodyne_probe(self.heterodyne_instr))
MC.run(name='Resonator_dac_scan'+self.msmt_suffix, mode='2D')
if analyze:
ma.MeasurementAnalysis(auto=True, TwoD=True, close_fig=close_fig)
def measure_resonator_power(self, freqs, powers,
MC=None, analyze=True, close_fig=True):
'''
N.B. This one does not use powers but varies the mod-amp.
Need to find a way to keep this function agnostic to that
'''
self.prepare_for_continuous_wave()
if MC is None:
MC = self.MC
MC.set_sweep_functions(
[pw.wrap_par_to_swf(self.heterodyne_instr.frequency),
pw.wrap_par_to_swf(self.heterodyne_instr.RF_power)])
MC.set_sweep_points(freqs)
MC.set_sweep_points_2D(powers)
MC.set_detector_function(det.Heterodyne_probe(self.heterodyne_instr))
MC.run(name='Resonator_power_scan'+self.msmt_suffix, mode='2D')
if analyze:
ma.MeasurementAnalysis(auto=True, TwoD=True, close_fig=close_fig)
def measure_resonator_power(self, freqs, mod_amps,
MC=None, analyze=True, close_fig=True):
'''
N.B. This one does not use powers but varies the mod-amp.
Need to find a way to keep this function agnostic to that
'''
self.prepare_for_continuous_wave()
if MC is None:
MC = self.MC
MC.set_sweep_functions(
[pw.wrap_par_to_swf(self.heterodyne_instr.frequency),
pw.wrap_par_to_swf(self.heterodyne_instr.mod_amp)])
MC.set_sweep_points(freqs)
MC.set_sweep_points_2D(mod_amps)
MC.set_detector_function(det.Heterodyne_probe(self.heterodyne_instr))
MC.run(name='Resonator_power_scan'+self.msmt_suffix, mode='2D')
if analyze:
ma.MeasurementAnalysis(auto=True, TwoD=True, close_fig=close_fig)
def set_sweep_function(self, sweep_function):
'''
Used if only 1 sweep function is set.
'''
# If it is not a sweep function, assume it is a qc.parameter
# and try to auto convert it it
if not isinstance(sweep_function, swf.Sweep_function):
sweep_function = wrap_par_to_swf(sweep_function)
self.sweep_functions = [sweep_function]
self.set_sweep_function_names(
[str(sweep_function.name)])
def measure_heterodyne_spectroscopy(self, freqs, MC=None,
analyze=True, close_fig=True):
self.prepare_for_continuous_wave()
if MC is None:
MC = self.MC
MC.set_sweep_function(pw.wrap_par_to_swf(
self.heterodyne_instr.frequency))
MC.set_sweep_points(freqs)
MC.set_detector_function(det.Heterodyne_probe(self.heterodyne_instr, trigger_separation=2.8e-6))
MC.run(name='Resonator_scan'+self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def set_sweep_function_2D(self, sweep_function):
# If it is not a sweep function, assume it is a qc.parameter
# and try to auto convert it it
if not isinstance(sweep_function, swf.Sweep_function):
sweep_function = wrap_par_to_swf(sweep_function)
if len(self.sweep_functions) != 1:
raise KeyError(
'Specify sweepfunction 1D before specifying sweep_function 2D')
else:
self.sweep_functions.append(sweep_function)
self.sweep_function_names.append(
str(sweep_function.__class__.__name__))
def set_sweep_functions(self, sweep_functions):
'''
Used to set an arbitrary number of sweep functions.
'''
sweep_function_names = []
for i, sweep_func in enumerate(sweep_functions):
# If it is not a sweep function, assume it is a qc.parameter
# and try to auto convert it it
if not hasattr(sweep_func, 'sweep_control'):
sweep_func = wrap_par_to_swf(sweep_func)
sweep_functions[i] = sweep_func
sweep_function_names.append(str(swf.__class__.__name__))
self.sweep_functions = sweep_functions
self.set_sweep_function_names(sweep_function_names)
def measure_pulsed_spectroscopy(self, freqs, MC=None, analyze=True,
return_detector=False,
close_fig=True, upload=True, update=True,
use_max=False):
"""
Measure pulsed spec with the qubit.
Accepts a manual sequence parameters, which has to be a call to a
pulse generation allowing for alternative sequences to be played
instead of the standard one
"""
self.prepare_for_pulsed_spec()
self.heterodyne_instr.get_instr()._disable_auto_seq_loading = True
self.cw_source.get_instr().pulsemod_state.set('On')
self.cw_source.get_instr().power.set(self.spec_pow_pulsed.get())
self.cw_source.get_instr().on()
if MC is None:
MC = self.MC.get_instr()
spec_pars, RO_pars = self.get_spec_pars()
# Upload the AWG sequence
sq.Pulsed_spec_seq(spec_pars, RO_pars)
self.AWG.get_instr().start()
if return_detector:
return det.Heterodyne_probe(self.heterodyne_instr.get_instr())
else:
MC.set_sweep_function(pw.wrap_par_to_swf(
self.cw_source.get_instr().frequency, retrieve_value=True))
MC.set_sweep_points(freqs)
MC.set_detector_function(
det.Heterodyne_probe(self.heterodyne_instr.get_instr()))
MC.run(name='pulsed-spec'+self.msmt_suffix)
if analyze or update:
ma_obj = ma.Qubit_Spectroscopy_Analysis(
auto=True, label='pulsed', close_fig=close_fig)
if use_max:
f_qubit = ma_obj.peaks['peak']
else:
f_qubit = ma_obj.fitted_freq
if update:
self.f_qubit(f_qubit)
self.cw_source.get_instr().off()
return f_qubit
def __init__(self,
sweep_functions: list,
parameter_name=None,
name=None,
**kw):
self.set_kw()
self.sweep_functions = [mc_parameter_wrapper.wrap_par_to_swf(s)
if isinstance(s, qcodes.Parameter) else s
for s in sweep_functions]
self.sweep_control = 'soft'
self.name = name or 'multi_sweep'
self.unit = sweep_functions[0].unit
self.parameter_name = parameter_name or 'multiple_parameters'
for i, sweep_function in enumerate(sweep_functions):
if self.unit.lower() != sweep_function.unit.lower():
raise ValueError('units of the sweepfunctions are not equal')
def measure_heterodyne_spectroscopy(self, freqs, MC=None,
analyze=True, close_fig=True):
self.prepare_for_continuous_wave()
# sqts.Pulsed_spec_seq(spec_pars, RO_pars)
if MC is None:
MC = self.MC.get_instr()
MC.set_sweep_function(pw.wrap_par_to_swf(
self.heterodyne_instr.get_instr().frequency, retrieve_value=True))
MC.set_sweep_points(freqs)
MC.set_detector_function(
det.Heterodyne_probe(self.heterodyne_instr.get_instr(),
trigger_separation=self.RO_acq_integration_length()+5e-6, RO_length=self.RO_acq_integration_length()))
MC.run(name='Resonator_scan'+self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def measure_heterodyne_spectroscopy(self,
freqs,
MC=None,
analyze=True,
close_fig=True,
RO_length=2000e-9):
self.prepare_for_continuous_wave()
if MC is None:
MC = self.MC
MC.set_sweep_function(
pw.wrap_par_to_swf(self.heterodyne_instr.frequency))
MC.set_sweep_points(freqs)
MC.set_detector_function(
det.Heterodyne_probe(self.heterodyne_instr,
trigger_separation=2.8e-6,
RO_length=2274e-9))
MC.run(name='Resonator_scan' + self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def measure_pulsed_spectroscopy(self,
freqs,
mode='ROGated_SpecGate',
MC=None,
analyze=True,
close_fig=True,
force_load=False):
# This is a trick so I can reuse the heterodyne instr
# to do pulsed-spectroscopy
self.heterodyne_instr._disable_auto_seq_loading = True
if mode == 'ROMod_SpecGated':
if ('Pulsed_spec_with_RF_mod'
not in self.AWG.setup_filename.get()) or force_load:
st_seqs.Pulsed_spec_seq_RF_mod(
IF=self.f_RO_mod.get(),
spec_pulse_length=spec_pulse_length,
marker_interval=30e-6,
RO_pulse_delay=self.RO_pulse_delay.get())
elif mode == 'ROGated_SpecGate':
if ('Pulsed_spec_with_RF_gated'
not in self.AWG.setup_filename.get()) or force_load:
st_seqs.Pulsed_spec_seq_RF_gated(self.RO_pars, self.pulse_pars)
else:
NotImplementedError(
'Pulsed Spec mode not supported. Only ROMod_SpecGated and ROGated_SpecGate are avaible right now.\n'
)
self.cw_source.pulsemod_state.set('on')
self.cw_source.power.set(self.spec_pow_pulsed.get())
self.AWG.start()
if hasattr(self.heterodyne_instr, 'mod_amp'):
self.heterodyne_instr.set('mod_amp', self.mod_amp_cw.get())
else:
self.heterodyne_instr.RF.power(self.RO_power_cw())
MC.set_sweep_function(pw.wrap_par_to_swf(self.cw_source.frequency))
MC.set_sweep_points(freqs)
MC.set_detector_function(det.Heterodyne_probe(self.heterodyne_instr))
MC.run(name='pulsed-spec' + self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def __init__(self,
sweep_function,
transformation,
name=None,
parameter_name=None,
unit=None):
super().__init__()
if isinstance(sweep_function, qcodes.Parameter):
sweep_function = mc_parameter_wrapper.wrap_par_to_swf(
sweep_function)
if sweep_function.sweep_control != 'soft':
raise ValueError(f'{self.__class__.__name__}: Only software '
f'sweeps supported')
self.sweep_function = sweep_function
self.transformation = transformation
self.sweep_control = sweep_function.sweep_control
self.name = self.sweep_function.name if name is None else name
self.unit = self.sweep_function.unit if unit is None else unit
self.parameter_name = self.default_param_name() \
if parameter_name is None else parameter_name
def measure_rabi(self, amps, n=1,
MC=None, analyze=True, close_fig=True,
verbose=False):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
cal_points = [0, 0]
amps = cal_points + list(amps)
self.CBox.AWG0_mode('Codeword-trigger mode')
self.CBox.AWG1_mode('Codeword-trigger mode')
self.CBox.AWG2_mode('Codeword-trigger mode')
self.CBox.set_master_controller_working_state(0, 0, 0)
self.CBox.load_instructions('CBox_v3_test_program\Rabi.asm')
self.CBox.set_master_controller_working_state(1, 0, 0)
MC.set_sweep_function(pw.wrap_par_to_swf(self.LutMan.amp180))
MC.set_sweep_points(amps)
MC.set_detector_function(det.CBox_v3_single_int_avg_with_LutReload(
self.CBox, self.LutMan,
awg_nrs=[self.awg_nr.get()]))
MC.run('Rabi-n{}'.format(n)+self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def measure_homodyne_acqusition_delay(self,
delays=None,
MC=None,
analyze=True,
close_fig=True):
"""
Varies the delay between the homodyne modulation signal and
acquisition. Measures the transmittance.
"""
if delays is None:
raise ValueError("Unspecified delays for measure_homodyne_"
"acquisition_delay")
if MC is None:
MC = self.MC
# set number of averages to 1 due to a readout bug
previous_nr_averages = self.heterodyne_instr.nr_averages()
self.heterodyne_instr.nr_averages(1)
previous_delay = self.heterodyne_instr.acquisition_delay()
self.prepare_for_continuous_wave()
MC.set_sweep_function(
pw.wrap_par_to_swf(self.heterodyne_instr.acquisition_delay))
MC.set_sweep_points(delays)
MC.set_detector_function(
det.Heterodyne_probe(self.heterodyne_instr,
trigger_separation=5e-6,
demod_mode='single'))
MC.run(name='acquisition_delay_scan' + self.msmt_suffix)
self.heterodyne_instr.acquisition_delay(previous_delay)
self.heterodyne_instr.nr_averages(previous_nr_averages)
if analyze:
ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def calibrate_pulse_parameters(self,
method='resetless_rb',
nr_cliff=10,
parameters=['amp', 'motzoi', 'frequency'],
amp_guess=None,
motzoi_guess=None,
frequency_guess=None,
a_step=30,
m_step=.1,
f_step=20e3,
MC=None,
nested_MC=None,
update=False,
close_fig=True,
verbose=True):
'''
Calibrates single qubit pulse parameters currently only using
the resetless rb method (requires reasonable (80%+?) discrimination
fidelity)
If it there is only one parameter to sweep it will use brent's method
instead.
The function returns the values it found for the optimization.
'''
if method is not 'resetless_rb':
raise NotImplementedError()
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
if nested_MC is None:
nested_MC = self.nested_MC
d = self.get_resetless_rb_detector(nr_cliff=nr_cliff, MC=nested_MC)
name = 'RB_{}cl_numerical'.format(nr_cliff)
MC.set_detector_function(d)
if amp_guess is None:
amp_guess = self.amp180.get()
if motzoi_guess is None:
motzoi_guess = self.motzoi.get()
if frequency_guess is None:
frequency_guess = self.f_qubit.get()
# Because we are sweeping the source and not the qubit frequency
start_freq = frequency_guess - self.f_pulse_mod.get()
sweep_functions = []
x0 = []
init_steps = []
if 'amp' in parameters:
sweep_functions.append(cb_swf.LutMan_amp180_90(self.LutMan))
x0.append(amp_guess)
init_steps.append(a_step)
if 'motzoi' in parameters:
sweep_functions.append(
pw.wrap_par_to_swf(self.LutMan.motzoi_parameter))
x0.append(motzoi_guess)
init_steps.append(m_step)
if 'frequency' in parameters:
sweep_functions.append(pw.wrap_par_to_swf(
self.td_source.frequency))
x0.append(start_freq)
init_steps.append(f_step)
if len(sweep_functions) == 0:
raise ValueError(
'parameters "{}" not recognized'.format(parameters))
MC.set_sweep_functions(sweep_functions)
if len(sweep_functions) != 1:
# noise ensures no_improv_break sets the termination condition
ad_func_pars = {
'adaptive_function': nelder_mead,
'x0': x0,
'initial_step': init_steps,
'no_improv_break': 10,
'minimize': False,
'maxiter': 500
}
elif len(sweep_functions) == 1:
# Powell does not work for 1D, use brent instead
brack = (x0[0] - 5 * init_steps[0], x0[0])
# Ensures relative change in parameter is relevant
if parameters == ['frequency']:
tol = 1e-9
else:
tol = 1e-3
print('Tolerance:', tol, init_steps[0])
print(brack)
ad_func_pars = {
'adaptive_function': brent,
'brack': brack,
'tol': tol, # Relative tolerance in brent
'minimize': False
}
MC.set_adaptive_function_parameters(ad_func_pars)
MC.run(name=name, mode='adaptive')
if len(sweep_functions) != 1:
a = ma.OptimizationAnalysis(auto=True,
label=name,
close_fig=close_fig)
if verbose:
# Note printing can be made prettier
print('Optimization converged to:')
print('parameters: {}'.format(parameters))
print(a.optimization_result[0])
if update:
for i, par in enumerate(parameters):
if par == 'amp':
self.amp180.set(a.optimization_result[0][i])
elif par == 'motzoi':
self.motzoi.set(a.optimization_result[0][i])
elif par == 'frequency':
self.f_qubit.set(a.optimization_result[0][i] +
self.f_pulse_mod.get())
return a
else:
a = ma.MeasurementAnalysis(label=name, close_fig=close_fig)
print('Optimization for {} converged to: {}'.format(
parameters[0], a.sweep_points[-1]))
if update:
if parameters == ['amp']:
self.amp180.set(a.sweep_points[-1])
elif parameters == ['motzoi']:
self.motzoi.set(a.sweep_points[-1])
elif parameters == ['frequency']:
self.f_qubit.set(a.sweep_points[-1] +
self.f_pulse_mod.get())
return a.sweep_points[-1]
def mixer_skewness_calibration_5014(SH, source, station,
MC=None,
QI_amp_ratio=None, IQ_phase=None,
frequency=None, f_mod=10e6,
I_ch=1, Q_ch=2,
name='mixer_skewness_calibration_5014'):
'''
Loads a cos and sin waveform in the specified I and Q channels of the
tektronix 5014 AWG (taken from station.pulsar.AWG).
By looking at the frequency corresponding with the spurious sideband the
phase_skewness and amplitude skewness that minimize the signal correspond
to the mixer skewness.
Inputs:
SH (instrument)
Source (instrument) MW-source used for driving
station (qcodes station) Contains the AWG and pulasr sequencer
QI_amp_ratio (parameter) qcodes parameter
IQ_phase (parameter)
frequency (float Hz) Spurious SB freq: f_source - f_mod
f_mod (float Hz) Modulation frequency
I_ch/Q_ch (int or str) Specifies the AWG channels
returns:
alpha, phi the coefficients that go in the predistortion matrix
For the spurious sideband:
alpha = 1/QI_amp_optimal
phi = -IQ_phase_optimal
For details, see Leo's notes on mixer skewness calibration in the docs
'''
if frequency is None:
# Corresponds to the frequency where to minimize with the SH
frequency = source.frequency.get() - f_mod
if QI_amp_ratio is None:
QI_amp_ratio = ManualParameter('QI_amp', initial_value=1)
if IQ_phase is None:
IQ_phase = ManualParameter('IQ_phase', unit='deg', initial_value=0)
if MC is None:
MC = station.MC
if type(I_ch) is int:
I_ch = 'ch{}'.format(I_ch)
if type(Q_ch) is int:
Q_ch = 'ch{}'.format(Q_ch)
d = det.SH_mixer_skewness_det(frequency, QI_amp_ratio, IQ_phase, SH,
f_mod=f_mod,
I_ch=I_ch, Q_ch=Q_ch, station=station)
S1 = pw.wrap_par_to_swf(QI_amp_ratio)
S2 = pw.wrap_par_to_swf(IQ_phase)
ad_func_pars = {'adaptive_function': nelder_mead,
'x0': [1.0, 0.0],
'initial_step': [.15, 10],
'no_improv_break': 12,
'minimize': True,
'maxiter': 500}
MC.set_sweep_functions([S1, S2])
MC.set_detector_function(d)
MC.set_adaptive_function_parameters(ad_func_pars)
MC.run(name=name, mode='adaptive')
a = ma.OptimizationAnalysis()
# phi and alpha are the coefficients that go in the predistortion matrix
alpha = 1/a.optimization_result[0][0]
phi = -1*a.optimization_result[0][1]
return phi, alpha
def mixer_skewness_calibration_5014(SH, source, station,
MC=None,
QI_amp_ratio=None, IQ_phase=None,
frequency=None, f_mod=10e6,
I_ch=1, Q_ch=2,
name='mixer_skewness_calibration_5014'):
'''
Loads a cos and sin waveform in the specified I and Q channels of the
tektronix 5014 AWG (taken from station.pulsar.AWG).
By looking at the frequency corresponding with the spurious sideband the
phase_skewness and amplitude skewness that minimize the signal correspond
to the mixer skewness.
Inputs:
SH (instrument)
Source (instrument) MW-source used for driving
station (qcodes station) Contains the AWG and pulasr sequencer
QI_amp_ratio (parameter) qcodes parameter
IQ_phase (parameter)
frequency (float Hz) Spurious SB freq: f_source - f_mod
f_mod (float Hz) Modulation frequency
I_ch/Q_ch (int or str) Specifies the AWG channels
returns:
alpha, phi the coefficients that go in the predistortion matrix
For the spurious sideband:
alpha = 1/QI_amp_optimal
phi = -IQ_phase_optimal
For details, see Leo's notes on mixer skewness calibration in the docs
'''
if frequency is None:
# Corresponds to the frequency where to minimize with the SH
frequency = source.frequency.get() - f_mod
if QI_amp_ratio is None:
QI_amp_ratio = ManualParameter('QI_amp', initial_value=1)
if IQ_phase is None:
IQ_phase = ManualParameter('IQ_phase', units='deg', initial_value=0)
if MC is None:
MC = station.MC
if type(I_ch) is int:
I_ch = 'ch{}'.format(I_ch)
if type(Q_ch) is int:
Q_ch = 'ch{}'.format(Q_ch)
d = det.SH_mixer_skewness_det(frequency, QI_amp_ratio, IQ_phase, SH,
f_mod=f_mod,
I_ch=I_ch, Q_ch=Q_ch, station=station)
S1 = pw.wrap_par_to_swf(QI_amp_ratio)
S2 = pw.wrap_par_to_swf(IQ_phase)
ad_func_pars = {'adaptive_function': nelder_mead,
'x0': [1.0, 0.0],
'initial_step': [.15, 10],
'no_improv_break': 10,
'minimize': True,
'maxiter': 500}
MC.set_sweep_functions([S1, S2])
MC.set_detector_function(d)
MC.set_adaptive_function_parameters(ad_func_pars)
MC.run(name=name, mode='adaptive')
a = MA.OptimizationAnalysis()
# phi and alpha are the coefficients that go in the predistortion matrix
alpha = 1/a.optimization_result[0][0]
phi = -1*a.optimization_result[0][1]
return phi, alpha
def mixer_carrier_cancellation_5014(AWG, SH, source, MC,
frequency=None,
AWG_channel1=1,
AWG_channel2=2,
voltage_grid=[.1, 0.05, 0.02],
xtol=0.001, **kw):
'''
Varies the mixer offsets to minimize leakage at the carrier frequency.
this is the version for a tektronix AWG.
station: QCodes station object that contains the instruments
source: the source for which carrier leakage must be minimized
frequency: frequency in Hz on which to minimize leakage, if None uses the
current frequency of the source
returns:
ch_1_min, ch_2_min
voltage_grid defines the ranges for the preliminary coarse sweeps.
If the range is too small, add another number infront of -0.12
Note: Updated for QCodes
'''
ch_1_min = 0 # Initializing variables used later on
ch_2_min = 0
last_ch_1_min = 1
last_ch_2_min = 1
ii = 0
min_power = 0
source.on()
if frequency is None:
frequency = source.get('frequency')
else:
source.set('frequency', frequency)
'''
Make coarse sweeps to approximate the minimum
'''
if type(AWG_channel1) is int:
ch1_offset = AWG['ch{}_offset'.format(AWG_channel1)]
else:
ch1_offset = AWG[AWG_channel1+'_offset']
if type(AWG_channel2) is int:
ch2_offset = AWG['ch{}_offset'.format(AWG_channel2)]
else:
ch2_offset = AWG[AWG_channel2+'_offset']
ch1_swf = pw.wrap_par_to_swf(ch1_offset)
ch2_swf = pw.wrap_par_to_swf(ch2_offset)
for voltage_span in voltage_grid:
# Channel 1
MC.set_sweep_function(ch1_swf)
MC.set_detector_function(
det.Signal_Hound_fixed_frequency(signal_hound=SH,
frequency=frequency))
MC.set_sweep_points(np.linspace(ch_1_min + voltage_span,
ch_1_min - voltage_span, 11))
MC.run(name='Mixer_cal_Offset_%s' % AWG_channel1,
sweep_delay=.1, debug_mode=True)
Mixer_Calibration_Analysis = MA.Mixer_Calibration_Analysis(
label='Mixer_cal', auto=True)
ch_1_min = Mixer_Calibration_Analysis.fit_results[0]
ch1_offset.set(ch_1_min)
# Channel 2
MC.set_sweep_function(ch2_swf)
MC.set_sweep_points(np.linspace(ch_2_min + voltage_span,
ch_2_min - voltage_span, 11))
MC.run(name='Mixer_cal_Offset_ch%s' % AWG_channel2,
sweep_delay=.1, debug_mode=True)
Mixer_Calibration_Analysis = MA.Mixer_Calibration_Analysis(
label='Mixer_cal', auto=True)
ch_2_min = Mixer_Calibration_Analysis.fit_results[0]
ch2_offset.set(ch_2_min)
# Refine and repeat the sweeps to find the minimum
while(abs(last_ch_1_min - ch_1_min) > xtol
and abs(last_ch_2_min - ch_2_min) > xtol):
ii += 1
dac_resolution = 0.001
# channel 1 finer sweep
MC.set_sweep_function(ch1_swf)
MC.set_sweep_points(np.linspace(ch_1_min - dac_resolution*6,
ch_1_min + dac_resolution*6, 13))
MC.run(name='Mixer_cal_Offset_%s' % AWG_channel1,
sweep_delay=.1, debug_mode=True)
Mixer_Calibration_Analysis = MA.Mixer_Calibration_Analysis(
label='Mixer_cal', auto=True)
last_ch_1_min = ch_1_min
ch_1_min = Mixer_Calibration_Analysis.fit_results[0]
ch1_offset.set(ch_1_min)
# Channel 2 finer sweep
MC.set_sweep_function(ch2_swf)
MC.set_sweep_points(np.linspace(ch_2_min - dac_resolution*6,
ch_2_min + dac_resolution*6, 13))
MC.run(name='Mixer_cal_Offset_%s' % AWG_channel2,
sweep_delay=.1, debug_mode=True)
Mixer_Calibration_Analysis = MA.Mixer_Calibration_Analysis(
label='Mixer_cal', auto=True)
last_ch_2_min = ch_2_min
min_power = min(Mixer_Calibration_Analysis.measured_powers)
ch_2_min = Mixer_Calibration_Analysis.fit_results[0]
ch2_offset.set(ch_2_min)
if ii > 10:
logging.error('Mixer calibration did not converge')
break
print(ch_1_min, ch_2_min)
return ch_1_min, ch_2_min
def calibrate_pulse_parameters(self, method='resetless_rb', nr_cliff=10,
parameters=['amp', 'motzoi', 'frequency'],
amp_guess=None, motzoi_guess=None,
frequency_guess=None,
a_step=30, m_step=.1, f_step=20e3,
MC=None, nested_MC=None,
update=False, close_fig=True,
verbose=True):
'''
Calibrates single qubit pulse parameters currently only using
the resetless rb method (requires reasonable (80%+?) discrimination
fidelity)
If it there is only one parameter to sweep it will use brent's method
instead.
The function returns the values it found for the optimization.
'''
if method is not 'resetless_rb':
raise NotImplementedError()
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
if nested_MC is None:
nested_MC = self.nested_MC
d = self.get_resetless_rb_detector(nr_cliff=nr_cliff, MC=nested_MC)
name = 'RB_{}cl_numerical'.format(nr_cliff)
MC.set_detector_function(d)
if amp_guess is None:
amp_guess = self.amp180.get()
if motzoi_guess is None:
motzoi_guess = self.motzoi.get()
if frequency_guess is None:
frequency_guess = self.f_qubit.get()
# Because we are sweeping the source and not the qubit frequency
start_freq = frequency_guess - self.f_pulse_mod.get()
sweep_functions = []
x0 = []
init_steps = []
if 'amp' in parameters:
sweep_functions.append(cb_swf.LutMan_amp180_90(self.LutMan))
x0.append(amp_guess)
init_steps.append(a_step)
if 'motzoi' in parameters:
sweep_functions.append(
pw.wrap_par_to_swf(self.LutMan.motzoi_parameter))
x0.append(motzoi_guess)
init_steps.append(m_step)
if 'frequency' in parameters:
sweep_functions.append(
pw.wrap_par_to_swf(self.td_source.frequency))
x0.append(start_freq)
init_steps.append(f_step)
if len(sweep_functions) == 0:
raise ValueError(
'parameters "{}" not recognized'.format(parameters))
MC.set_sweep_functions(sweep_functions)
if len(sweep_functions) != 1:
# noise ensures no_improv_break sets the termination condition
ad_func_pars = {'adaptive_function': nelder_mead,
'x0': x0,
'initial_step': init_steps,
'no_improv_break': 10,
'minimize': False,
'maxiter': 500}
elif len(sweep_functions) == 1:
# Powell does not work for 1D, use brent instead
brack = (x0[0]-5*init_steps[0], x0[0])
# Ensures relative change in parameter is relevant
if parameters == ['frequency']:
tol = 1e-9
else:
tol = 1e-3
print('Tolerance:', tol, init_steps[0])
print(brack)
ad_func_pars = {'adaptive_function': brent,
'brack': brack,
'tol': tol, # Relative tolerance in brent
'minimize': False}
MC.set_adaptive_function_parameters(ad_func_pars)
MC.run(name=name, mode='adaptive')
if len(sweep_functions) != 1:
a = ma.OptimizationAnalysis(auto=True, label=name,
close_fig=close_fig)
if verbose:
# Note printing can be made prettier
print('Optimization converged to:')
print('parameters: {}'.format(parameters))
print(a.optimization_result[0])
if update:
for i, par in enumerate(parameters):
if par == 'amp':
self.amp180.set(a.optimization_result[0][i])
elif par == 'motzoi':
self.motzoi.set(a.optimization_result[0][i])
elif par == 'frequency':
self.f_qubit.set(a.optimization_result[0][i] +
self.f_pulse_mod.get())
return a
else:
a = ma.MeasurementAnalysis(label=name, close_fig=close_fig)
print('Optimization for {} converged to: {}'.format(
parameters[0], a.sweep_points[-1]))
if update:
if parameters == ['amp']:
self.amp180.set(a.sweep_points[-1])
elif parameters == ['motzoi']:
self.motzoi.set(a.sweep_points[-1])
elif parameters == ['frequency']:
self.f_qubit.set(a.sweep_points[-1]+self.f_pulse_mod.get())
return a.sweep_points[-1]