def test_butterfly_simple(self):
# Test the correct file is loaded
a = ma.butterfly_analysis(timestamp='20170710_182949',
close_main_fig=False, initialize=False,
threshold=0.5,
digitize=False, case=True)
assert_almost_equal(a.butterfly_coeffs['F_a_butterfly'], 0.819,
decimal=3)
def test_butterfly_postselected(self):
# Test the correct file is loaded
a = ma.butterfly_analysis(timestamp='20170710_180002',
close_main_fig=False,
initialize=True,
threshold=0.5,
digitize=False,
case=True)
self.assertAlmostEqual(a.butterfly_coeffs['F_a_butterfly'],
0.7998,
places=3)
def measure_butterfly(
self,
return_detector=False,
MC=None,
analyze=True,
close_fig=True,
verbose=True,
initialize=False,
post_msmt_delay=2e-6,
case=True,
):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
MC.set_sweep_function(
awg_swf.Butterfly(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars, initialize=initialize, post_msmt_delay=post_msmt_delay
)
)
MC.set_detector_function(self.int_log_det)
MC.run("Butterfly{}initialize_{}".format(self.msmt_suffix, initialize))
# first perform SSRO analysis to extract the optimal rotation angle theta
a = ma.SSRO_discrimination_analysis(
label="Butterfly", current_threshold=None, close_fig=close_fig, plot_2D_histograms=True
)
# the, run it a second time to determin the optimum threshold along the rotated I axis
b = ma.SSRO_discrimination_analysis(
label="Butterfly", current_threshold=None, close_fig=close_fig, plot_2D_histograms=True, theta_in=-a.theta
)
c = ma.butterfly_analysis(
close_main_fig=close_fig,
initialize=initialize,
theta_in=-a.theta,
threshold=b.opt_I_threshold,
digitize=True,
case=case,
)
return c.butterfly_coeffs
class Tektronix_driven_transmon(CBox_driven_transmon):
'''
Setup configuration:
Drive: Tektronix 5014 AWG
Acquisition: CBox or UHFQC
(in the future to be compatible with both CBox and ATS)
Readout pulse configuration:
Set by parameter RO_pulse_type ['MW_IQmod_pulse', 'Gated_MW_RO_pulse']
- LO modulated using AWG: 'MW_IQmod_pulse'
- LO + RF-pulsed with marker: 'Gated_MW_RO_pulse'
Depending on the RO_pulse_type some parameters are not used
'''
def __init__(self, name, **kw):
super(CBox_driven_transmon, self).__init__(name, **kw)
# Change this when inheriting directly from Transmon instead of
# from CBox driven Transmon.
# Adding instrument parameters
self.add_parameter('LO', parameter_class=InstrumentParameter)
self.add_parameter('cw_source', parameter_class=InstrumentParameter)
self.add_parameter('td_source', parameter_class=InstrumentParameter)
self.add_parameter('IVVI', parameter_class=InstrumentParameter)
self.add_parameter('FluxCtrl', parameter_class=InstrumentParameter)
self.add_parameter('AWG', parameter_class=InstrumentParameter)
self.add_parameter('heterodyne_instr',
parameter_class=InstrumentParameter)
self.add_parameter('LutMan', parameter_class=InstrumentParameter)
self.add_parameter('CBox', parameter_class=InstrumentParameter)
self.add_parameter('MC', parameter_class=InstrumentParameter)
self.add_parameter('RF_RO_source',
parameter_class=InstrumentParameter)
self.add_parameter('mod_amp_cw', label='RO modulation ampl cw',
unit='V', initial_value=0.5,
parameter_class=ManualParameter)
self.add_parameter('RO_power_cw', label='RO power cw',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('spec_pow', label='spectroscopy power',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('spec_pow_pulsed',
label='pulsed spectroscopy power',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('td_source_pow',
label='Time-domain power',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('spec_pulse_type', label='Pulsed spec pulse type',
parameter_class=ManualParameter,
initial_value='SquarePulse',
vals=vals.Enum('SquarePulse')) # , SSB_DRAG_pulse))
# we should also implement SSB_DRAG_pulse for pulsed spec
self.add_parameter('spec_pulse_length',
label='Pulsed spec pulse duration',
unit='s',
vals=vals.Numbers(1e-9, 20e-6),
parameter_class=ManualParameter)
self.add_parameter('spec_pulse_marker_channel',
unit='s',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('spec_pulse_depletion_time',
unit='s',
vals=vals.Numbers(1e-9, 50e-6),
parameter_class=ManualParameter)
# Rename f_RO_mod
# Time-domain parameters
self.add_parameter('pulse_I_channel', initial_value='ch1',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('pulse_Q_channel', initial_value='ch2',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('pulse_I_offset', initial_value=0.0,
vals=vals.Numbers(min_value=-0.1, max_value=0.1),
parameter_class=ManualParameter)
self.add_parameter('pulse_Q_offset', initial_value=0.0,
vals=vals.Numbers(min_value=-0.1, max_value=0.1),
parameter_class=ManualParameter)
# readout parameters for time domain
self.add_parameter('RO_acq_averages', initial_value=1024,
vals=vals.Numbers(min_value=0, max_value=1e6),
parameter_class=ManualParameter)
self.add_parameter('RO_acq_integration_length', initial_value=1e-6,
vals=vals.Numbers(
min_value=10e-9, max_value=1000e-6),
parameter_class=ManualParameter)
self.add_parameter('RO_acq_weight_function_I', initial_value=0,
vals=vals.Ints(0, 5),
parameter_class=ManualParameter)
self.add_parameter('RO_acq_weight_function_Q', initial_value=1,
vals=vals.Ints(0, 5),
parameter_class=ManualParameter)
# These parameters are only relevant if using MW_IQmod_pulse type
# RO
self.add_parameter('RO_I_channel', initial_value='ch3',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('RO_Q_channel', initial_value='ch4',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('RO_I_offset', initial_value=0.0,
vals=vals.Numbers(min_value=-0.1, max_value=0.1),
parameter_class=ManualParameter)
self.add_parameter('RO_Q_offset', initial_value=0.0,
vals=vals.Numbers(min_value=-0.1, max_value=0.1),
parameter_class=ManualParameter)
self.add_parameter('RO_pulse_type', initial_value='MW_IQmod_pulse_tek',
vals=vals.Enum('MW_IQmod_pulse_tek',
'MW_IQmod_pulse_UHFQC',
'Gated_MW_RO_pulse'),
parameter_class=ManualParameter)
# Relevant when using a marker channel to gate a MW-RO tone.
self.add_parameter('RO_pulse_marker_channel',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('RO_pulse_power', unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('f_pulse_mod',
initial_value=-100e6,
label='pulse-modulation frequency', unit='Hz',
parameter_class=ManualParameter)
self.add_parameter('f_RO_mod',
label='Readout-modulation frequency', unit='Hz',
initial_value=-2e7,
parameter_class=ManualParameter)
self.add_parameter('amp180',
label='Pi-pulse amplitude', unit='V',
initial_value=.25,
vals=vals.Numbers(min_value=-2.25, max_value=2.25),
parameter_class=ManualParameter)
self.add_parameter('amp90_scale',
label='pulse amplitude scaling factor', unit='',
initial_value=.5,
vals=vals.Numbers(min_value=0, max_value=1.0),
parameter_class=ManualParameter)
self.add_parameter('gauss_sigma', unit='s',
initial_value=10e-9,
parameter_class=ManualParameter)
self.add_parameter('motzoi', label='Motzoi parameter', unit='',
initial_value=0,
parameter_class=ManualParameter)
self.add_parameter('phi_skew', label='IQ phase skewness', unit='deg',
vals=vals.Numbers(-180, 180),
initial_value=0,
parameter_class=ManualParameter)
self.add_parameter('alpha', label='QI amplitude skewness', unit='',
vals=vals.Numbers(.1, 2),
initial_value=1,
parameter_class=ManualParameter)
# Single shot readout specific parameters
self.add_parameter('RO_threshold', unit='dac-value',
initial_value=0,
parameter_class=ManualParameter)
# CBox specific parameter
self.add_parameter('signal_line', parameter_class=ManualParameter,
vals=vals.Enum(0, 1), initial_value=0)
self.add_parameter('acquisition_instr',
set_cmd=self._do_set_acquisition_instr,
get_cmd=self._do_get_acquisition_instr,
vals=vals.Strings())
self.add_parameter('flux_pulse_buffer',
label='Flux pulse buffer', unit='s',
initial_value=0.,
vals=vals.Numbers(min_value=0., max_value=50e-6),
parameter_class=ManualParameter)
self.add_parameter('fluxing_channel', initial_value='ch1',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('fluxing_amp',
label='SWAP resolution', unit='V',
initial_value=.5,
vals=vals.Numbers(min_value=-1., max_value=1.),
parameter_class=ManualParameter)
self.add_parameter('SWAP_amp',
label='SWAP amplitude', unit='V',
initial_value=0.02,
vals=vals.Numbers(min_value=0.02, max_value=4.5),
parameter_class=ManualParameter)
self.add_parameter('SWAP_time',
label='SWAP Time', unit='s',
initial_value=0.,
vals=vals.Numbers(min_value=0., max_value=1e-6),
parameter_class=ManualParameter)
self.add_parameter('flux_dead_time',
label='Time between flux pulse and comp.', unit='s',
initial_value=0.,
vals=vals.Numbers(min_value=0., max_value=50e-6),
parameter_class=ManualParameter)
self.add_parameter('mw_to_flux_delay',
label='time between and mw pulse and start of flux pulse', unit='s',
initial_value=0.,
vals=vals.Numbers(min_value=0., max_value=50e-6),
parameter_class=ManualParameter)
self.add_parameter('dist_dict',
get_cmd=self.get_dist_dict,
set_cmd=self.set_dist_dict,
vals=vals.Anything())
def get_dist_dict(self):
return self._dist_dict
def set_dist_dict(self, dist_dict):
self._dist_dict = dist_dict
def prepare_for_continuous_wave(self):
# makes sure the settings of the acquisition instrument are reloaded
self.acquisition_instr(self.acquisition_instr())
self.heterodyne_instr.get_instr().acquisition_instr(self.acquisition_instr())
# Heterodyne tone configuration
if not self.f_RO():
RO_freq = self.f_res()
else:
RO_freq = self.f_RO()
self.heterodyne_instr.get_instr()._disable_auto_seq_loading = False
self.heterodyne_instr.get_instr().RF.on()
self.heterodyne_instr.get_instr().LO.on()
if hasattr(self.heterodyne_instr.get_instr(), 'mod_amp'):
self.heterodyne_instr.get_instr().set('mod_amp', self.mod_amp_cw.get())
else:
self.heterodyne_instr.get_instr().RF_power(self.RO_power_cw())
self.heterodyne_instr.get_instr().set('f_RO_mod', self.f_RO_mod.get())
self.heterodyne_instr.get_instr().frequency.set(RO_freq)
self.heterodyne_instr.get_instr().RF.power(self.RO_power_cw())
self.heterodyne_instr.get_instr().RF_power(self.RO_power_cw())
self.heterodyne_instr.get_instr().nr_averages(self.RO_acq_averages())
# Turning of TD source
if self.td_source.get_instr() is not None:
self.td_source.get_instr().off()
# Updating Spec source
if self.cw_source() is not 'None':
self.cw_source.get_instr().power(self.spec_pow())
self.cw_source.get_instr().frequency(self.f_qubit())
self.cw_source.get_instr().off()
if hasattr(self.cw_source.get_instr(), 'pulsemod_state'):
self.cw_source.get_instr().pulsemod_state('off')
if hasattr(self.RF_RO_source.get_instr(), 'pulsemod_state'):
self.RF_RO_source.get_instr().pulsemod_state('Off')
else:
logging.warning('No spectrocscopy source (cw_source) specified')
def prepare_for_pulsed_spec(self):
# TODO: fix prepare for pulsed spec
# TODO: make measure pulsed spec
self.prepare_for_timedomain()
if self.td_source.get_instr() != None:
self.td_source.get_instr().off()
self.cw_source.get_instr().frequency(self.f_qubit())
self.cw_source.get_instr().power(self.spec_pow_pulsed())
if hasattr(self.cw_source.get_instr(), 'pulsemod_state'):
self.cw_source.get_instr().pulsemod_state('On')
else:
RuntimeError(
'Spec source for pulsed spectroscopy does not support pulsing!')
self.cw_source.get_instr().on()
def prepare_for_timedomain(self, input_averaging=False):
# makes sure the settings of the acquisition instrument are reloaded
self.acquisition_instr(self.acquisition_instr())
if self.td_source.get_instr() != None:
self.td_source.get_instr().pulsemod_state('Off')
self.LO.get_instr().on()
if self.cw_source.get_instr() != None:
self.cw_source.get_instr().off()
if self.td_source.get_instr() != None:
self.td_source.get_instr().on()
# Ensures the self.pulse_pars and self.RO_pars get created and updated
self.get_pulse_pars()
# Set source to fs =f-f_mod such that pulses appear at f = fs+f_mod
if self.td_source.get_instr() != None:
self.td_source.get_instr().frequency.set(self.f_qubit.get()
- self.f_pulse_mod.get())
# Use resonator freq unless explicitly specified
if self.f_RO.get() is None:
f_RO = self.f_res.get()
else:
f_RO = self.f_RO.get()
self.LO.get_instr().frequency.set(f_RO - self.f_RO_mod.get())
if self.td_source.get_instr() != None:
self.td_source.get_instr().power.set(self.td_source_pow.get())
# # makes sure dac range is used optimally, 20% overhead for mixer skew
# # use 60% of based on linear range in mathematica
self.AWG.get_instr().set('{}_amp'.format(self.pulse_I_channel()),
self.amp180()*3.0)
self.AWG.get_instr().set('{}_amp'.format(self.pulse_Q_channel()),
self.amp180()*3.0)
self.AWG.get_instr().set(self.pulse_I_channel.get()+'_offset',
self.pulse_I_offset.get())
self.AWG.get_instr().set(self.pulse_Q_channel.get()+'_offset',
self.pulse_Q_offset.get())
if self.RO_pulse_type() is 'MW_IQmod_pulse_tek':
self.AWG.get_instr().set(self.RO_I_channel.get()+'_offset',
self.RO_I_offset.get())
self.AWG.get_instr().set(self.RO_Q_channel.get()+'_offset',
self.RO_Q_offset.get())
elif self.RO_pulse_type() is 'MW_IQmod_pulse_UHFQC':
eval('self._acquisition_instr.sigouts_{}_offset({})'.format(
self.RO_I_channel(), self.RO_I_offset()))
eval('self._acquisition_instr.sigouts_{}_offset({})'.format(
self.RO_Q_channel(), self.RO_Q_offset()))
# This is commented out as doing this by default breaks multiplexed readout
# it should instead be done using the lutmanman
# self._acquisition_instr.awg_sequence_acquisition_and_pulse_SSB(
# f_RO_mod=self.f_RO_mod(), RO_amp=self.RO_amp(),
# RO_pulse_length=self.RO_pulse_length(), acquisition_delay=270e-9)
elif self.RO_pulse_type.get() is 'Gated_MW_RO_pulse':
self.RF_RO_source.get_instr().pulsemod_state('On')
self.RF_RO_source.get_instr().frequency(self.f_RO.get())
self.RF_RO_source.get_instr().power(self.RO_pulse_power.get())
self.RF_RO_source.get_instr().frequency(self.f_RO())
self.RF_RO_source.get_instr().on()
if 'UHFQC' in self.acquisition_instr():
# self._acquisition_instr.awg_sequence_acquisition()
# temperarliy removed for debugging
pass
def calibrate_mixer_offsets(self, signal_hound, offs_type='pulse',
update=True):
'''
input:
signal_hound: instance of the SH instrument
offs_type: ['pulse' | 'RO'] whether to calibrate the
RO or pulse IQ offsets
update: update the values in the qubit object
Calibrates the mixer skewness and updates the I and Q offsets in
the qubit object.
signal hound needs to be given as it this is not part of the qubit
object in order to reduce dependencies.
'''
# ensures freq is set correctly
# Still need to test this, start by doing this in notebook
self.prepare_for_timedomain()
self.AWG.get_instr().stop() # Make sure no waveforms are played
if offs_type == 'pulse':
AWG_channel1 = self.pulse_I_channel.get()
AWG_channel2 = self.pulse_Q_channel.get()
source = self.td_source.get_instr()
elif offs_type == 'RO':
AWG_channel1 = self.RO_I_channel.get()
AWG_channel2 = self.RO_Q_channel.get()
source = self.LO.get_instr()
else:
raise ValueError('offs_type "{}" not recognized'.format(offs_type))
offset_I, offset_Q = mixer_carrier_cancellation_5014(
AWG=self.AWG.get_instr(), SH=signal_hound, source=source, MC=self.MC.get_instr(),
AWG_channel1=AWG_channel1, AWG_channel2=AWG_channel2, xtol=0.0003)
if update:
if offs_type == 'pulse':
self.pulse_I_offset.set(offset_I)
self.pulse_Q_offset.set(offset_Q)
if offs_type == 'RO':
self.RO_I_offset.set(offset_I)
self.RO_Q_offset.set(offset_Q)
def calibrate_mixer_offsets_IQ_mod_RO_UHFQC(self, signal_hound,
update=True):
'''
input:
signal_hound: instance of the SH instrument
offs_type: ['pulse' | 'RO'] whether to calibrate the
RO or pulse IQ offsets
update: update the values in the qubit object
Calibrates the mixer skewness and updates the I and Q offsets in
the qubit object.
signal hound needs to be given as it this is not part of the qubit
object in order to reduce dependencies.
'''
# ensures freq is set correctly
# Still need to test this, start by doing this in notebook
self.prepare_for_timedomain()
self.AWG.get_instr().stop() # Make sure no waveforms are played
AWG_channel1 = self.RO_I_channel.get()
AWG_channel2 = self.RO_Q_channel.get()
source = self.LO.get_instr()
offset_I, offset_Q = mixer_carrier_cancellation_UHFQC(
UHFQC=self._acquisition_instr, SH=signal_hound, source=source, MC=self.MC.get_instr(
),
AWG_channel1=AWG_channel1, AWG_channel2=AWG_channel2)
if update:
self.RO_I_offset.set(offset_I)
self.RO_Q_offset.set(offset_Q)
def calibrate_mixer_skewness(self, signal_hound, station, update=True):
'''
Calibrates mixer skewness at the frequency relevant for qubit driving.
Note: I don't like that you have to pass station here but I don't want
to introduce extra variables at this point, it should be available to
you in the notebook (MAR).
'''
self.prepare_for_timedomain()
phi, alpha = mixer_skewness_calibration_5014(
signal_hound, self.td_source.get_instr(), station,
f_mod=self.f_pulse_mod.get(),
I_ch=self.pulse_I_channel.get(), Q_ch=self.pulse_Q_channel.get(),
name='Mixer_skewness'+self.msmt_suffix)
if update:
self.phi_skew.set(phi)
self.alpha.set(alpha)
def calibrate_RO_threshold(self, method='conventional',
MC=None, close_fig=True,
verbose=False, make_fig=True):
raise NotImplementedError()
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_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_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 measure_rabi(self, amps=np.linspace(-.5, .5, 31), n=1,
MC=None, analyze=True, close_fig=True,
verbose=False, upload=True):
# prepare for timedomain takes care of rescaling
self.prepare_for_timedomain()
# # Extra rescaling only happens if the amp180 was far too low for the Rabi
if max(abs(amps))*2 > self.AWG.get_instr().get('{}_amp'.format(self.pulse_I_channel())):
logging.warning('Auto rescaling AWG amplitude as amp180 {}'.format(
self.amp180()) +
' was set very low in comparison to Rabi range')
self.AWG.get_instr().set('{}_amp'.format(self.pulse_I_channel()),
np.max(abs(amps))*3.0)
self.AWG.get_instr().set('{}_amp'.format(self.pulse_Q_channel()),
np.max(abs(amps))*3.0)
if MC is None:
MC = self.MC.get_instr()
MC.set_sweep_function(awg_swf.Rabi(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars, n=n, upload=upload))
MC.set_sweep_points(amps)
MC.set_detector_function(self.int_avg_det)
MC.run('Rabi-n{}'.format(n)+self.msmt_suffix)
if analyze:
ma.Rabi_Analysis(auto=True, close_fig=close_fig)
def measure_rabi_amp90(self,
scales=np.linspace(-0.7, 0.7, 31), n=1,
MC=None, analyze=True, close_fig=True,
verbose=False):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
MC.set_sweep_function(awg_swf.Rabi_amp90(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars, n=n))
MC.set_sweep_points(scales)
MC.set_detector_function(self.int_avg_det)
MC.run('Rabi_amp90_scales_n{}'.format(n)+self.msmt_suffix)
if analyze:
ma.Rabi_Analysis(auto=True, close_fig=close_fig)
def measure_T1(self, times, MC=None,
analyze=True, upload=True, close_fig=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
MC.set_sweep_function(awg_swf.T1(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars, upload=upload))
MC.set_sweep_points(times)
MC.set_detector_function(self.int_avg_det)
MC.run('T1'+self.msmt_suffix)
if analyze:
a = ma.T1_Analysis(auto=True, close_fig=close_fig)
return a.T1
def measure_ramsey(self, times, artificial_detuning=0,
f_qubit=None, label='',
MC=None, analyze=True, close_fig=True, verbose=True,
upload=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
if f_qubit is None:
f_qubit = self.f_qubit.get()
self.td_source.get_instr().set(
'frequency', f_qubit - self.f_pulse_mod.get())
Rams_swf = awg_swf.Ramsey(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars,
artificial_detuning=artificial_detuning, upload=upload)
MC.set_sweep_function(Rams_swf)
MC.set_sweep_points(times)
MC.set_detector_function(self.int_avg_det)
MC.run('Ramsey'+label+self.msmt_suffix)
if analyze:
a = ma.Ramsey_Analysis(auto=True, close_fig=close_fig)
if verbose:
fitted_freq = a.fit_res.params['frequency'].value
print('Artificial detuning: {:.2e}'.format(
artificial_detuning))
print('Fitted detuning: {:.2e}'.format(fitted_freq))
print('Actual detuning:{:.2e}'.format(
fitted_freq-artificial_detuning))
def measure_echo(self, times, label='', MC=None,
artificial_detuning=None, upload=True,
analyze=True, close_fig=True, verbose=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
Echo_swf = awg_swf.Echo(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars,
artificial_detuning=artificial_detuning, upload=upload)
MC.set_sweep_function(Echo_swf)
MC.set_sweep_points(times)
MC.set_detector_function(self.int_avg_det)
MC.run('Echo'+label+self.msmt_suffix)
if analyze:
a = ma.Ramsey_Analysis(
auto=True, close_fig=close_fig, label='Echo')
return a
def measure_allxy(self, double_points=True,
MC=None,
analyze=True, close_fig=True, verbose=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
MC.set_sweep_function(awg_swf.AllXY(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars,
double_points=double_points))
MC.set_detector_function(self.int_avg_det)
MC.run('AllXY'+self.msmt_suffix)
if analyze:
a = ma.AllXY_Analysis(close_main_fig=close_fig)
return a
def measure_randomized_benchmarking(self, nr_cliffords,
nr_seeds=50, T1=None,
MC=None, analyze=True, close_fig=True,
verbose=False, upload=True):
'''
Performs a randomized benchmarking fidelity.
Optionally specifying T1 also shows the T1 limited fidelity.
'''
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
MC.set_sweep_function(awg_swf.Randomized_Benchmarking(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars,
double_curves=True,
nr_cliffords=nr_cliffords, nr_seeds=nr_seeds, upload=upload))
MC.set_detector_function(self.int_avg_det)
MC.run('RB_{}seeds'.format(nr_seeds)+self.msmt_suffix)
ma.RB_double_curve_Analysis(
close_main_fig=close_fig, T1=T1,
pulse_delay=self.pulse_delay.get())
def measure_ssro(self, no_fits=False,
return_detector=False,
MC=None,
analyze=True,
close_fig=True,
verbose=True, optimized_weights=False, SSB=False,
one_weight_function_UHFQC=False,
multiplier=1, nr_shots=4095):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
d = cdet.SSRO_Fidelity_Detector_Tek(
'SSRO'+self.msmt_suffix,
analyze=analyze,
raw=no_fits,
MC=MC,
AWG=self.AWG.get_instr(), acquisition_instr=self._acquisition_instr,
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars, IF=self.f_RO_mod(),
weight_function_I=self.RO_acq_weight_function_I(),
weight_function_Q=self.RO_acq_weight_function_Q(),
nr_shots=nr_shots, one_weight_function_UHFQC=one_weight_function_UHFQC,
optimized_weights=optimized_weights,
integration_length=self.RO_acq_integration_length(),
close_fig=close_fig, SSB=SSB, multiplier=multiplier,
nr_averages=self.RO_acq_averages())
if return_detector:
return d
d.prepare()
d.acquire_data_point()
# if analyze:
# return ma.SSRO_Analysis(rotate=soft_rotate, label='SSRO'+self.msmt_suffix,
# no_fits=no_fits, close_fig=close_fig)
def measure_butterfly(self, return_detector=False,
MC=None,
analyze=True,
close_fig=True,
verbose=True,
initialize=False,
post_msmt_delay=2e-6, case=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
MC.set_sweep_function(awg_swf.Butterfly(
pulse_pars=self.pulse_pars, RO_pars=self.RO_pars,
initialize=initialize, post_msmt_delay=post_msmt_delay))
MC.set_detector_function(self.int_log_det)
MC.run('Butterfly{}initialize_{}'.format(self.msmt_suffix, initialize))
# first perform SSRO analysis to extract the optimal rotation angle
# theta
a = ma.SSRO_discrimination_analysis(
label='Butterfly',
current_threshold=None,
close_fig=close_fig,
plot_2D_histograms=True)
# the, run it a second time to determin the optimum threshold along the
# rotated I axis
b = ma.SSRO_discrimination_analysis(
label='Butterfly',
current_threshold=None,
close_fig=close_fig,
plot_2D_histograms=True, theta_in=-a.theta)
c = ma.butterfly_analysis(
close_main_fig=close_fig, initialize=initialize,
theta_in=-a.theta,
threshold=b.opt_I_threshold, digitize=True, case=case)
return c.butterfly_coeffs
class Tektronix_driven_transmon_v2(Transmon):
'''
Setup configuration:
Drive: Tektronix 5014 AWG
Acquisition: CBox
(in the future to be compatible with both CBox and ATS)
Readout pulse configuration:
Set by parameter RO_pulse_type ['MW_IQmod_pulse', 'Gated_MW_RO_pulse']
- LO modulated using AWG: 'MW_IQmod_pulse'
- LO + RF-pulsed with marker: 'Gated_MW_RO_pulse'
Depending on the RO_pulse_type some parameters are not used
'''
shared_kwargs = [
'LO', 'cw_source', 'td_source', 'IVVI', 'AWG', 'CBox',
'heterodyne_instr', 'rf_RO_source', 'MC'
]
def __init__(self,
name,
LO,
cw_source,
td_source,
IVVI,
AWG,
CBox,
heterodyne_instr,
MC,
rf_RO_source=None,
**kw):
super(Transmon, self).__init__(name, **kw)
# Change this when inheriting directly from Transmon instead of
# from CBox driven Transmon.
self.LO = LO
self.cw_source = cw_source
self.td_source = td_source
self.rf_RO_source = rf_RO_source
self.IVVI = IVVI
self.heterodyne_instr = heterodyne_instr
self.AWG = AWG
self.CBox = CBox
self.MC = MC
self.add_parameter('mod_amp_cw',
label='RO modulation ampl cw',
unit='V',
initial_value=0.5,
parameter_class=ManualParameter)
self.add_parameter('RO_power_cw',
label='RO power cw',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('spec_pow',
label='spectroscopy power',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('spec_pow_pulsed',
label='pulsed spectroscopy power',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('td_source_pow',
label='Time-domain power',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('spec_pulse_type',
label='Pulsed spec pulse type',
parameter_class=ManualParameter,
initial_value='SquarePulse',
vals=vals.Enum('SquarePulse')) # , SSB_DRAG_pulse))
# we should also implement SSB_DRAG_pulse for pulsed spec
self.add_parameter('spec_pulse_length',
label='Pulsed spec pulse duration',
unit='s',
vals=vals.Numbers(1e-9, 20e-6),
parameter_class=ManualParameter)
self.add_parameter('spec_pulse_marker_channel',
unit='s',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('spec_pulse_depletion_time',
unit='s',
vals=vals.Numbers(1e-9, 50e-6),
parameter_class=ManualParameter)
# Rename f_RO_mod
# Time-domain parameters
self.add_parameter('pulse_I_channel',
initial_value='ch1',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('pulse_Q_channel',
initial_value='ch2',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('pulse_I_offset',
initial_value=0.0,
vals=vals.Numbers(min_value=-0.1, max_value=0.1),
parameter_class=ManualParameter)
self.add_parameter('pulse_Q_offset',
initial_value=0.0,
vals=vals.Numbers(min_value=-0.1, max_value=0.1),
parameter_class=ManualParameter)
# These parameters are only relevant if using MW_IQmod_pulse type
# RO
self.add_parameter('RO_I_channel',
initial_value='ch3',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('RO_Q_channel',
initial_value='ch4',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('RO_I_offset',
initial_value=0.0,
vals=vals.Numbers(min_value=-0.1, max_value=0.1),
parameter_class=ManualParameter)
self.add_parameter('RO_Q_offset',
initial_value=0.0,
vals=vals.Numbers(min_value=-0.1, max_value=0.1),
parameter_class=ManualParameter)
self.add_parameter('RO_pulse_type',
initial_value='MW_IQmod_pulse',
vals=vals.Enum('MW_IQmod_pulse',
'Gated_MW_RO_pulse'),
parameter_class=ManualParameter)
# Relevant when using a marker channel to gate a MW-RO tone.
self.add_parameter('RO_pulse_marker_channel',
vals=vals.Strings(),
parameter_class=ManualParameter)
self.add_parameter('RO_pulse_power',
unit='dBm',
parameter_class=ManualParameter)
self.add_parameter('f_pulse_mod',
initial_value=-100e6,
label='pulse-modulation frequency',
unit='Hz',
parameter_class=ManualParameter)
self.add_parameter('f_RO_mod',
label='Readout-modulation frequency',
unit='Hz',
initial_value=-2e7,
parameter_class=ManualParameter)
# Used in calculating the fixed point frequency, if set to 0 it
# has no effect
self.add_parameter('f_JPA_pump_mod',
label='JPA pump modulation frequency',
unit='Hz',
initial_value=0,
parameter_class=ManualParameter,
vals=vals.Numbers(0, 1e9))
self.add_parameter('amp180',
label='Pi-pulse amplitude',
unit='V',
initial_value=.25,
vals=vals.Numbers(min_value=-0.5, max_value=0.5),
parameter_class=ManualParameter)
self.add_parameter('amp90_scale',
label='pulse amplitude scaling factor',
unit='',
initial_value=.5,
vals=vals.Numbers(min_value=0, max_value=1.0),
parameter_class=ManualParameter)
self.add_parameter('gauss_sigma',
unit='s',
initial_value=10e-9,
parameter_class=ManualParameter)
self.add_parameter('motzoi',
label='Motzoi parameter',
unit='',
initial_value=0,
parameter_class=ManualParameter)
self.add_parameter('phi_skew',
label='IQ phase skewness',
unit='deg',
vals=vals.Numbers(-180, 180),
initial_value=0,
parameter_class=ManualParameter)
self.add_parameter('alpha',
label='QI amplitude skewness',
unit='',
vals=vals.Numbers(.1, 2),
initial_value=1,
parameter_class=ManualParameter)
# Single shot readout specific parameters
self.add_parameter('RO_threshold',
unit='dac-value',
initial_value=0,
parameter_class=ManualParameter)
# CBox specific parameter
self.add_parameter('signal_line',
parameter_class=ManualParameter,
vals=vals.Enum(0, 1),
initial_value=0)
# Specifying the int_avg det here should allow replacing it with ATS
# or potential digitizer acquisition easily
self.int_avg_det = det.CBox_integrated_average_detector(
self.CBox, self.AWG)
self.int_log_det = det.CBox_integration_logging_det(
self.CBox, self.AWG)
self.input_average_detector = det.CBox_input_average_detector(
self.CBox, self.AWG)
def prepare_for_continuous_wave(self):
"""
Prepare call for configuration of a CW measurement.
"""
# Heterodyne tone configuration
self.heterodyne_instr._disable_auto_seq_loading = False
self.heterodyne_instr.RF.on()
self.heterodyne_instr.LO.on()
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())
self.heterodyne_instr.set('IF', self.f_RO_mod.get())
self.heterodyne_instr.frequency.set(self.f_RO.get())
self.heterodyne_instr.RF.power(self.RO_power_cw())
self.heterodyne_instr.RF_power(self.RO_power_cw())
# Turning of TD source
self.td_source.off()
# Updating Spec source
self.cw_source.power(self.spec_pow())
self.cw_source.frequency(self.f_qubit())
if hasattr(self.cw_source, 'pulsemod_state'):
self.cw_source.pulsemod_state('off')
def prepare_for_pulsed_spec(self):
# TODO: fix prepare for pulsed spec
# TODO: make measure pulsed spec
self.prepare_for_timedomain()
self.td_source.off()
def prepare_for_timedomain(self):
self.LO.on()
self.cw_source.off()
self.td_source.on()
# Set source to fs =f-f_mod such that pulses appear at f = fs+f_mod
self.td_source.frequency.set(self.f_qubit.get() -
self.f_pulse_mod.get())
# Use resonator freq unless explicitly specified
if self.f_RO.get() is None:
f_RO = self.f_res.get()
else:
f_RO = self.f_RO.get()
self.LO.frequency.set(f_RO - self.f_RO_mod.get())
self.td_source.power.set(self.td_source_pow.get())
self.get_pulse_pars()
self.AWG.set(self.pulse_I_channel.get() + '_offset',
self.pulse_I_offset.get())
self.AWG.set(self.pulse_Q_channel.get() + '_offset',
self.pulse_Q_offset.get())
if self.RO_pulse_type.get() is 'MW_IQmod_pulse':
self.AWG.set(self.RO_I_channel.get() + '_offset',
self.RO_I_offset.get())
self.AWG.set(self.RO_Q_channel.get() + '_offset',
self.RO_Q_offset.get())
elif self.RO_pulse_type.get() is 'Gated_MW_RO_pulse':
self.rf_RO_source.on()
self.rf_RO_source.pulsemod_state.set('on')
self.rf_RO_source.frequency(self.f_RO.get())
self.rf_RO_source.power(self.RO_pulse_power.get())
def calibrate_mixer_offsets(self,
signal_hound,
offs_type='pulse',
update=True):
'''
input:
signal_hound: instance of the SH instrument
offs_type: ['pulse' | 'RO'] whether to calibrate the
RO or pulse IQ offsets
update: update the values in the qubit object
Calibrates the mixer skewness and updates the I and Q offsets in
the qubit object.
signal hound needs to be given as it this is not part of the qubit
object in order to reduce dependencies.
'''
# ensures freq is set correctly
# Still need to test this, start by doing this in notebook
self.prepare_for_timedomain()
self.AWG.stop() # Make sure no waveforms are played
if offs_type == 'pulse':
AWG_channel1 = self.pulse_I_channel.get()
AWG_channel2 = self.pulse_Q_channel.get()
source = self.td_source
elif offs_type == 'RO':
AWG_channel1 = self.RO_I_channel.get()
AWG_channel2 = self.RO_Q_channel.get()
source = self.LO
else:
raise ValueError('offs_type "{}" not recognized'.format(offs_type))
offset_I, offset_Q = mixer_carrier_cancellation_5014(
AWG=self.AWG,
SH=signal_hound,
source=source,
MC=self.MC,
AWG_channel1=AWG_channel1,
AWG_channel2=AWG_channel2)
if update:
if offs_type == 'pulse':
self.pulse_I_offset.set(offset_I)
self.pulse_Q_offset.set(offset_Q)
if offs_type == 'RO':
self.RO_I_offset.set(offset_I)
self.RO_Q_offset.set(offset_Q)
def calibrate_mixer_skewness(self, signal_hound, station, update=True):
'''
Calibrates mixer skewness at the frequency relevant for qubit driving.
Note: I don't like that you have to pass station here but I don't want
to introduce extra variables at this point, it should be available to
you in the notebook (MAR).
'''
self.prepare_for_timedomain()
phi, alpha = mixer_skewness_calibration_5014(
signal_hound,
self.td_source,
station,
f_mod=self.f_pulse_mod.get(),
I_ch=self.pulse_I_channel.get(),
Q_ch=self.pulse_Q_channel.get(),
name='Mixer_skewness' + self.msmt_suffix)
if update:
self.phi_skew.set(phi)
self.alpha.set(alpha)
def calibrate_RO_threshold(self,
method='conventional',
MC=None,
close_fig=True,
verbose=False,
make_fig=True):
raise NotImplementedError()
def measure_pulsed_spectroscopy(self,
freqs,
MC=None,
analyze=True,
return_detector=False,
close_fig=True,
upload=True):
"""
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._disable_auto_seq_loading = True
self.cw_source.pulsemod_state.set('On')
self.cw_source.power.set(self.spec_pow_pulsed.get())
self.cw_source.on()
if MC is None:
MC = self.MC
spec_pars, RO_pars = self.get_spec_pars()
# Upload the AWG sequence
sq.Pulsed_spec_seq(spec_pars, RO_pars)
self.AWG.start()
if return_detector:
return det.Heterodyne_probe(self.heterodyne_instr)
else:
MC.set_sweep_function(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)
self.cw_source.off()
def measure_rabi(self,
amps=np.linspace(-.5, .5, 31),
n=1,
MC=None,
analyze=True,
close_fig=True,
verbose=False):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
MC.set_sweep_function(
awg_swf.Rabi(pulse_pars=self.pulse_pars, RO_pars=self.RO_pars,
n=n))
MC.set_sweep_points(amps)
MC.set_detector_function(self.int_avg_det)
MC.run('Rabi-n{}'.format(n) + self.msmt_suffix)
if analyze:
ma.Rabi_Analysis(auto=True, close_fig=close_fig)
def measure_rabi_amp90(self,
scales=np.linspace(-0.7, 0.7, 31),
n=1,
MC=None,
analyze=True,
close_fig=True,
verbose=False):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
MC.set_sweep_function(
awg_swf.Rabi_amp90(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
n=n))
MC.set_sweep_points(scales)
MC.set_detector_function(self.int_avg_det)
MC.run('Rabi_amp90_scales_n{}'.format(n) + self.msmt_suffix)
if analyze:
ma.Rabi_Analysis(auto=True, close_fig=close_fig)
def measure_T1(self, times, MC=None, analyze=True, close_fig=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
MC.set_sweep_function(
awg_swf.T1(pulse_pars=self.pulse_pars, RO_pars=self.RO_pars))
MC.set_sweep_points(times)
MC.set_detector_function(self.int_avg_det)
MC.run('T1' + self.msmt_suffix)
if analyze:
a = ma.T1_Analysis(auto=True, close_fig=close_fig)
return a.T1
def measure_ramsey(self,
times,
artificial_detuning=None,
f_qubit=None,
label='',
MC=None,
analyze=True,
close_fig=True,
verbose=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
if f_qubit is None:
f_qubit = self.f_qubit.get()
self.td_source.set('frequency', f_qubit - self.f_pulse_mod.get())
Rams_swf = awg_swf.Ramsey(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
artificial_detuning=artificial_detuning)
MC.set_sweep_function(Rams_swf)
MC.set_sweep_points(times)
MC.set_detector_function(self.int_avg_det)
MC.run('Ramsey' + label + self.msmt_suffix)
if analyze:
a = ma.Ramsey_Analysis(auto=True, close_fig=close_fig)
if verbose:
fitted_freq = a.fit_res.params['frequency'].value
print(
'Artificial detuning: {:.2e}'.format(artificial_detuning))
print('Fitted detuning: {:.2e}'.format(fitted_freq))
print('Actual detuning:{:.2e}'.format(fitted_freq -
artificial_detuning))
def measure_echo(self,
times,
label='',
MC=None,
analyze=True,
close_fig=True,
verbose=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
Echo_swf = awg_swf.Echo(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars)
MC.set_sweep_function(Echo_swf)
MC.set_sweep_points(times)
MC.set_detector_function(self.int_avg_det)
MC.run('Echo' + label + self.msmt_suffix)
if analyze:
a = ma.Echo_analysis(auto=True, close_fig=close_fig)
return a
def measure_allxy(self,
double_points=True,
MC=None,
analyze=True,
close_fig=True,
verbose=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
MC.set_sweep_function(
awg_swf.AllXY(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
double_points=double_points))
MC.set_detector_function(self.int_avg_det)
MC.run('AllXY' + self.msmt_suffix)
if analyze:
a = ma.AllXY_Analysis(close_main_fig=close_fig)
return a
def measure_randomized_benchmarking(self,
nr_cliffords,
nr_seeds=50,
T1=None,
MC=None,
analyze=True,
close_fig=True,
verbose=False):
'''
Performs a randomized benchmarking fidelity.
Optionally specifying T1 also shows the T1 limited fidelity.
'''
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
MC.set_sweep_function(
awg_swf.Randomized_Benchmarking(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
double_curves=True,
nr_cliffords=nr_cliffords,
nr_seeds=nr_seeds))
MC.set_detector_function(self.int_avg_det)
MC.run('RB_{}seeds'.format(nr_seeds) + self.msmt_suffix)
ma.RB_double_curve_Analysis(close_main_fig=close_fig,
T1=T1,
pulse_delay=self.pulse_delay.get())
def measure_ssro(self,
no_fits=False,
return_detector=False,
MC=None,
analyze=True,
close_fig=True,
verbose=True,
set_integration_weights=False):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
d = cdet.SSRO_Fidelity_Detector_Tek(
'SSRO' + self.msmt_suffix,
analyze=return_detector,
raw=no_fits,
MC=MC,
AWG=self.AWG,
CBox=self.CBox,
pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
set_integration_weights=set_integration_weights,
close_fig=close_fig)
if return_detector:
return d
d.prepare()
d.acquire_data_point()
if analyze:
return ma.SSRO_Analysis(label='SSRO' + self.msmt_suffix,
no_fits=no_fits,
close_fig=close_fig)
def measure_butterfly(self,
return_detector=False,
MC=None,
analyze=True,
close_fig=True,
verbose=True,
initialize=False,
post_msmt_delay=2e-6,
case=True):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
MC.set_sweep_function(
awg_swf.Butterfly(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
initialize=initialize,
post_msmt_delay=post_msmt_delay))
MC.set_detector_function(self.int_log_det)
MC.run('Butterfly{}initialize_{}'.format(self.msmt_suffix, initialize))
# first perform SSRO analysis to extract the optimal rotation angle theta
a = ma.SSRO_discrimination_analysis(label='Butterfly',
current_threshold=None,
close_fig=close_fig,
plot_2D_histograms=True)
#the, run it a second time to determin the optimum threshold along the rotated I axis
b = ma.SSRO_discrimination_analysis(label='Butterfly',
current_threshold=None,
close_fig=close_fig,
plot_2D_histograms=True,
theta_in=-a.theta)
c = ma.butterfly_analysis(close_main_fig=close_fig,
initialize=initialize,
theta_in=-a.theta,
threshold=b.opt_I_threshold,
digitize=True,
case=case)
return c.butterfly_coeffs