def test_data_location(self):
sweep_pts = np.linspace(0, 10, 30)
self.MC.set_sweep_function(None_Sweep())
self.MC.set_sweep_points(sweep_pts)
self.MC.set_detector_function(det.Dummy_Detector_Soft())
self.MC.run('datadir_test_file')
# raises an error if the file is not found
ma.MeasurementAnalysis(label='datadir_test_file')
# change the datadir
test_dir2 = os.path.abspath(os.path.join(
os.path.dirname(pq.__file__), os.pardir, 'data_test_2'))
self.MC.datadir(test_dir2)
sweep_pts = np.linspace(0, 10, 30)
self.MC.set_sweep_function(None_Sweep())
self.MC.set_sweep_points(sweep_pts)
self.MC.set_detector_function(det.Dummy_Detector_Soft())
self.MC.run('datadir_test_file_2')
# raises an error if the file is not found
with self.assertRaises(Exception):
ma.MeasurementAnalysis(label='datadir_test_file_2')
ma.a_tools.datadir = test_dir2
# changing the dir makes it find the file now
ma.MeasurementAnalysis(label='datadir_test_file_2')
self.MC.datadir(get_default_datadir())
def measure_transients(self, return_detector=False,
MC=None,
analyze=True,
close_fig=True,
verbose=True,
nr_samples=512):
self.prepare_for_timedomain()
if MC is None:
MC = self.MC.get_instr()
self.MC.get_instr().set_sweep_function(awg_swf.OffOn(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
pulse_comb='OffOff',
nr_samples=nr_samples))
self.MC.get_instr().set_sweep_points(np.arange(nr_samples))
self.input_average_detector.nr_samples = nr_samples
self.MC.get_instr().set_detector_function(self.input_average_detector)
self.MC.get_instr().run(
'Measure_transients_{}_0'.format(self.msmt_suffix))
a0 = ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
self.MC.get_instr().set_sweep_function(awg_swf.OffOn(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
pulse_comb='OnOn',
nr_samples=nr_samples))
# self.MC.get_instr().set_sweep_points(np.arange(nr_samples))
self.input_average_detector.nr_samples = nr_samples
self.MC.get_instr().set_detector_function(self.input_average_detector)
self.MC.get_instr().run(
'Measure_transients_{}_1'.format(self.msmt_suffix))
a1 = ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
def measure_two_qubit_AllXY(self, sequence_type='simultaneous', MC=None):
if MC is None:
MC = qc.station.components['MC']
qnames = self.qubits()
q0 = self.find_instrument(qnames[0])
q1 = self.find_instrument(qnames[1])
self.prepare_for_timedomain()
double_points = True
AllXY = mqqs.two_qubit_AllXY(
q0.name,
q1.name,
RO_target=q0.name, # shold be 'all'
sequence_type=sequence_type,
replace_q1_pulses_X180=False,
double_points=double_points)
s = swf.QASM_Sweep_v2(qasm_fn=AllXY.name,
config=self.qasm_config(),
CBox=self.central_controller.get_instr(),
verbosity_level=1)
d = self.get_correlation_detector()
MC.set_sweep_function(s)
MC.set_sweep_points(np.arange(21 * (1 + double_points)))
MC.set_detector_function(d)
MC.run('AllXY_{}_{}'.format(q0.name, q1.name))
ma.MeasurementAnalysis()
def extract_data(self):
self.raw_data_dict = OrderedDict()
self.timestamps = a_tools.get_timestamps_in_range(self.t_start,
self.t_stop,
label=self.labels)
self.raw_data_dict['timestamps'] = self.timestamps
self.timestamp = self.timestamps[0]
a = ma_old.MeasurementAnalysis(timestamp=self.timestamp,
auto=False,
close_file=False)
a.get_naming_and_values()
self.raw_data_dict['xvals'] = a.sweep_points
self.raw_data_dict['xlabel'] = a.parameter_names[0]
self.raw_data_dict['xunit'] = a.parameter_units[0]
self.raw_data_dict['bins'] = a.data_file['Experimental Data']\
['Experimental Metadata']['bins'].value
self.raw_data_dict['measured_values'] = a.measured_values
self.raw_data_dict['value_names'] = a.value_names
self.raw_data_dict['value_units'] = a.value_units
self.raw_data_dict['measurementstring'] = a.measurementstring
self.raw_data_dict['folder'] = a.folder
a.finish()
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 test_save_exp_metadata(self):
metadata_dict = {
'intParam': 1,
'floatParam': 2.5e-3,
'strParam': 'spam',
'listParam': [1, 2, 3, 4],
'arrayParam': np.array([4e5, 5e5]),
'dictParam': {'a': 1, 'b': 2},
'tupleParam': (3, 'c')
}
old_a_tools_datadir = a_tools.datadir
a_tools.datadir = self.MC.datadir()
sweep_pts = np.linspace(0, 10, 30)
self.MC.set_sweep_function(None_Sweep())
self.MC.set_sweep_points(sweep_pts)
self.MC.set_detector_function(det.Dummy_Detector_Soft())
self.MC.run('test_exp_metadata', exp_metadata=metadata_dict)
a = ma.MeasurementAnalysis(label='test_exp_metadata', auto=False)
a_tools.datadir = old_a_tools_datadir
loaded_dict = read_dict_from_hdf5(
{}, a.data_file['Experimental Data']['Experimental Metadata'])
np.testing.assert_equal(metadata_dict, loaded_dict)
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_2D(self,
parameter1,
parameter2,
values1,
values2,
label,
analyze=True):
MC = self.instr_mc.get_instr()
detector = self.prepare_readout()
initial_value1 = parameter1()
initial_value2 = parameter2()
MC.set_sweep_function(parameter1)
MC.set_sweep_function_2D(parameter2)
MC.set_sweep_points(values1)
MC.set_sweep_points_2D(values2)
MC.set_detector_function(detector)
MC.run_2D(name=label + self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(TwoD=True, auto=True)
parameter1(initial_value1)
parameter2(initial_value2)
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,
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 test_save_exp_metadata(self):
metadata_dict = {
"intParam": 1,
"floatParam": 2.5e-3,
"strParam": "spam",
"listParam": [1, 2, 3, 4],
"arrayParam": np.array([4e5, 5e5]),
"dictParam": {
"a": 1,
"b": 2
},
"tupleParam": (3, "c"),
}
old_a_tools_datadir = a_tools.datadir
a_tools.datadir = self.MC.datadir()
sweep_pts = np.linspace(0, 10, 30)
self.MC.set_sweep_function(None_Sweep())
self.MC.set_sweep_points(sweep_pts)
self.MC.set_detector_function(det.Dummy_Detector_Soft())
self.MC.run("test_exp_metadata", exp_metadata=metadata_dict)
a = ma.MeasurementAnalysis(label="test_exp_metadata", auto=False)
a_tools.datadir = old_a_tools_datadir
loaded_dict = read_dict_from_hdf5(
{}, a.data_file["Experimental Data"]["Experimental Metadata"])
np.testing.assert_equal(metadata_dict, loaded_dict)
def extract_data(self):
self.raw_data_dict = OrderedDict()
self.timestamps = a_tools.get_timestamps_in_range(self.t_start,
self.t_stop,
label=self.labels)
self.raw_data_dict["timestamps"] = self.timestamps
self.timestamp = self.timestamps[0]
a = ma_old.MeasurementAnalysis(timestamp=self.timestamp,
auto=False,
close_file=False)
a.get_naming_and_values()
self.raw_data_dict["xvals"] = a.sweep_points
self.raw_data_dict["xlabel"] = a.parameter_names[0]
self.raw_data_dict["xunit"] = a.parameter_units[0]
self.raw_data_dict["bins"] = a.data_file["Experimental Data"][
"Experimental Metadata"]["bins"].value
self.raw_data_dict["measured_values"] = a.measured_values
self.raw_data_dict["value_names"] = a.value_names
self.raw_data_dict["value_units"] = a.value_units
self.raw_data_dict["measurementstring"] = a.measurementstring
self.raw_data_dict["folder"] = a.folder
a.finish()
def __init__(self, auto=True, label='', timestamp=None,
fig_format='png',
q0_label='q0',
q1_label='q1', close_fig=True, **kw):
self.label = label
self.timestamp = timestamp
self.fig_format = fig_format
# q0 == D2
self.q0_label = q0_label
# q1 == A
self.q1_label = q1_label
self.n_states = 2 ** 2
self.ma_obj = ma.MeasurementAnalysis(auto=False, label=label,
timestamp=timestamp)
self.ma_obj.get_naming_and_values()
# self.get_naming_and_values()
# hard coded number of segments for a 2 qubit state tomography
# constraint imposed by UHFLI
self.nr_segments = 16
# self.exp_name = os.path.split(self.folder)[-1][7:]
avg_h1 = self.ma_obj.measured_values[0]
avg_h2 = self.ma_obj.measured_values[1]
avg_h12 = self.ma_obj.measured_values[2]
h1_00 = np.mean(avg_h1[36:36+7])
h1_01 = np.mean(avg_h1[43:43+7])
h1_10 = np.mean(avg_h1[50:50+7])
h1_11 = np.mean(avg_h1[57:])
h2_00 = np.mean(avg_h2[36:36+7])
h2_01 = np.mean(avg_h2[43:43+7])
h2_10 = np.mean(avg_h2[50:50+7])
h2_11 = np.mean(avg_h2[57:])
h12_00 = np.mean(avg_h12[36:36+7])
h12_01 = np.mean(avg_h12[43:43+7])
h12_10 = np.mean(avg_h12[50:50+7])
h12_11 = np.mean(avg_h12[57:])
measurement_channel_1 = np.array([avg_h1[0], avg_h1[1], avg_h1[7],
avg_h1[8], avg_h1[14], avg_h1[21],
avg_h1[28], avg_h1[35]])
measurement_channel_2 = np.array([avg_h2[0], avg_h2[1], avg_h2[7], avg_h2[8],
avg_h2[14], avg_h2[21], avg_h2[28], avg_h2[35]])
measurement_channel_3 = np.array([avg_h12[0], avg_h12[1], avg_h12[7],
avg_h12[8], avg_h12[14], avg_h12[21],
avg_h12[28],avg_h12[35]])
self.measurements_tomo = np.array([measurement_channel_1,
measurement_channel_2,
measurement_channel_3]).flatten()
# print(self.measurements_tomo)
# print(len(self.measurements_tomo))
# 108 x 1
# get the calibration points by averaging over the five measurements
# taken knowing the initial state we put in
self.measurements_cal = np.array(
[h1_00, h1_01, h1_10, h1_11,
h2_00, h2_01, h2_10, h2_11,
h12_00, h12_01, h12_10, h12_11])
def measure_SWAP_CZ_SWAP(device,
qS_name,
qCZ_name,
CZ_phase_corr_amps,
sweep_qubit,
excitations='both_cases',
MC=None,
upload=True):
if MC is None:
MC = station.components['MC']
if excitations == 'both_cases':
CZ_phase_corr_amps = np.tile(CZ_phase_corr_amps, 2)
amp_step = CZ_phase_corr_amps[1] - CZ_phase_corr_amps[0]
swp_pts = np.concatenate(
[CZ_phase_corr_amps,
np.arange(4) * amp_step + CZ_phase_corr_amps[-1]])
qS = device.qubits()[qS_name]
qCZ = device.qubits()[qCZ_name]
int_avg_det = det.UHFQC_integrated_average_detector(
UHFQC=qS._acquisition_instr,
AWG=qS.AWG,
channels=[
qCZ.RO_acq_weight_function_I(),
qS.RO_acq_weight_function_I()
],
nr_averages=qS.RO_acq_averages(),
integration_length=qS.RO_acq_integration_length(),
result_logging_mode='lin_trans')
operation_dict = device.get_operation_dict()
S_CZ_S_swf = awg_swf.awg_seq_swf(
fsqs.SWAP_CZ_SWAP_phase_corr_swp,
parameter_name='phase_corr_amps',
unit='V',
AWG=qS.AWG,
fluxing_channels=[qS.fluxing_channel(),
qCZ.fluxing_channel()],
upload=upload,
awg_seq_func_kwargs={
'operation_dict': operation_dict,
'qS': qS.name,
'qCZ': qCZ.name,
'sweep_qubit': sweep_qubit,
'RO_target': qCZ.name,
'excitations': excitations,
'upload': upload,
'distortion_dict': qS.dist_dict()
})
MC.set_sweep_function(S_CZ_S_swf)
MC.set_detector_function(int_avg_det)
MC.set_sweep_points(swp_pts)
# MC.set_sweep_points(phases)
MC.run('SWAP_CP_SWAP_{}_{}'.format(qS_name, qCZ_name))
ma.MeasurementAnalysis() # N.B. you may want to run different analysis
def measure_transients(self,
return_detector=False,
MC=None,
analyze=True,
close_fig=True,
verbose=True,
set_integration_weights=False,
nr_samples=512):
if set_integration_weights:
print("always using 512 samples to set the weightfunction")
self.CBox.nr_samples.set(512)
else:
self.CBox.nr_samples.set(nr_samples)
self.prepare_for_timedomain()
if MC is None:
MC = self.MC
self.MC.set_sweep_function(
awg_swf.OffOn(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
pulse_comb='OffOff',
nr_samples=nr_samples))
self.MC.set_detector_function(self.input_average_detector)
self.MC.run('Measure_transients_{}_0'.format(self.msmt_suffix))
a0 = ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
self.MC.set_sweep_function(
awg_swf.OffOn(pulse_pars=self.pulse_pars,
RO_pars=self.RO_pars,
pulse_comb='OnOn',
nr_samples=nr_samples))
self.MC.set_detector_function(self.input_average_detector)
self.MC.run('Measure_transients_{}_1'.format(self.msmt_suffix))
a1 = ma.MeasurementAnalysis(auto=True, close_fig=close_fig)
if set_integration_weights:
transient0 = a0.data[1, :]
transient1 = a1.data[1, :]
optimized_weights = transient1 - transient0
optimized_weights = optimized_weights + np.mean(optimized_weights)
self.CBox.sig0_integration_weights.set(optimized_weights)
self.CBox.sig1_integration_weights.set(
np.zeros(512)) #disabling the Q quadrature
def extract_data(self):
"""
Custom data extraction for this specific experiment.
"""
self.raw_data_dict = OrderedDict()
self.timestamps = a_tools.get_timestamps_in_range(self.t_start,
self.t_stop,
label=self.labels)
a = ma_old.MeasurementAnalysis(timestamp=self.timestamps[0],
auto=False,
close_file=False)
a.get_naming_and_values()
if 'bins' in a.data_file['Experimental Data'][
'Experimental Metadata'].keys():
bins = a.data_file['Experimental Data']['Experimental Metadata'][
'bins'].value
self.raw_data_dict['ncl'] = bins[:-6:2]
self.raw_data_dict['bins'] = bins
self.raw_data_dict['value_names'] = a.value_names
self.raw_data_dict['value_units'] = a.value_units
self.raw_data_dict['measurementstring'] = a.measurementstring
self.raw_data_dict['timestamp_string'] = a.timestamp_string
self.raw_data_dict['binned_vals'] = OrderedDict()
self.raw_data_dict['cal_pts_zero'] = OrderedDict()
self.raw_data_dict['cal_pts_one'] = OrderedDict()
self.raw_data_dict['cal_pts_two'] = OrderedDict()
self.raw_data_dict['measured_values_I'] = OrderedDict()
self.raw_data_dict['measured_values_X'] = OrderedDict()
for i, val_name in enumerate(a.value_names):
binned_yvals = np.reshape(a.measured_values[i],
(len(bins), -1),
order='F')
self.raw_data_dict['binned_vals'][val_name] = binned_yvals
self.raw_data_dict['cal_pts_zero'][val_name] =\
binned_yvals[-6:-4, :].flatten()
self.raw_data_dict['cal_pts_one'][val_name] =\
binned_yvals[-4:-2, :].flatten()
self.raw_data_dict['cal_pts_two'][val_name] =\
binned_yvals[-2:, :].flatten()
self.raw_data_dict['measured_values_I'][val_name] =\
binned_yvals[:-6:2, :]
self.raw_data_dict['measured_values_X'][val_name] =\
binned_yvals[1:-6:2, :]
else:
bins = None
self.raw_data_dict['folder'] = a.folder
self.raw_data_dict['timestamps'] = self.timestamps
a.finish() # closes data file
def rSWAP_scan(device,
qS_name,
qCZ_name,
recovery_swap_amps,
emulate_cross_driving=False,
MC=None,
upload=True):
if MC is None:
MC = station.components['MC']
amp_step = recovery_swap_amps[1] - recovery_swap_amps[0]
swp_pts = np.concatenate(
[recovery_swap_amps,
np.arange(4) * amp_step + recovery_swap_amps[-1]])
qS = device.qubits()[qS_name]
qCZ = device.qubits()[qCZ_name]
int_avg_det = det.UHFQC_integrated_average_detector(
UHFQC=qS._acquisition_instr,
AWG=qS.AWG,
channels=[
qCZ.RO_acq_weight_function_I(),
qS.RO_acq_weight_function_I()
],
nr_averages=qS.RO_acq_averages(),
integration_length=qS.RO_acq_integration_length(),
result_logging_mode='lin_trans')
operation_dict = device.get_operation_dict()
rSWAP_swf = awg_swf.awg_seq_swf(
fsqs.rSWAP_amp_sweep,
parameter_name='rSWAP amplitude',
unit=r'% dac resolution',
AWG=qS.AWG,
fluxing_channels=[qS.fluxing_channel(),
qCZ.fluxing_channel()],
upload=upload,
awg_seq_func_kwargs={
'operation_dict': operation_dict,
'qS': qS.name,
'qCZ': qCZ.name,
'recovery_swap_amps': swp_pts,
'RO_target': qCZ.name,
'emulate_cross_driving': emulate_cross_driving,
'upload': upload,
'distortion_dict': qS.dist_dict()
})
MC.set_sweep_function(rSWAP_swf)
MC.set_detector_function(int_avg_det)
MC.set_sweep_points(swp_pts)
# MC.set_sweep_points(phases)
MC.run('rSWAP_{}_{}'.format(qS_name, qCZ_name))
ma.MeasurementAnalysis() # N.B. you may want to run different analysis
def extract_data(self):
"""
Custom data extraction for this specific experiment.
"""
self.timestamps = a_tools.get_timestamps_in_range(
self.t_start, self.t_stop,
label=self.labels)
self.timestamp = self.timestamps[0]
self.raw_data_dict = OrderedDict()
self.raw_data_dict['amps'] = []
self.raw_data_dict['data'] = []
for i, timestamp in enumerate(self.timestamps):
a = ma_old.MeasurementAnalysis(
timestamp=timestamp, auto=False, close_file=False)
a.get_naming_and_values()
if i == 0:
if self.ch_amp_key is None:
ch_amp = 1
else:
ch_amp = a.data_file[self.ch_amp_key].attrs['value']
if self.ch_range_key is None:
ch_range = 2 # corresponds to a scale factor of 1
else:
ch_range = a.data_file[self.ch_range_key].attrs['value']
waveform_amp = a.data_file[self.waveform_amp_key].attrs['value']
amp = ch_amp*ch_range/2*waveform_amp
# read conversion polynomial from the datafile if not provided as input
if isinstance(self.polycoeffs_freq_conv, str):
self.polycoeffs_freq_conv = np.array(
a.data_file[self.polycoeffs_freq_conv])
self.raw_data_dict['data'] =\
a.measured_values[self.ch_idx_cos] + \
1j * a.measured_values[self.ch_idx_sin]
# hacky but required for data saving
self.raw_data_dict['folder'] = a.folder
self.raw_data_dict['amps'].append(amp)
else:
# If multiple datasets are used, shapes must match
self.raw_data_dict['data'] +=\
a.measured_values[self.ch_idx_cos] + \
1j * a.measured_values[self.ch_idx_sin]
a.finish()
self.raw_data_dict['times'] = a.sweep_points
self.raw_data_dict['timestamps'] = self.timestamps
def extract_data(self):
self.raw_data_dict = OrderedDict()
a = ma.MeasurementAnalysis(
timestamp=self.ts, label=self.label, auto=False)
a.get_naming_and_values_2D()
a.finish()
self.timestamps = [a.timestamp_string]
self.raw_data_dict['timestamps'] = self.timestamps
self.raw_data_dict['timestamp_string'] = a.timestamp
for attr in ['sweep_points', 'sweep_points_2D', 'measured_values',
'parameter_names', 'parameter_units', 'value_names',
'value_units']:
self.raw_data_dict[attr] = getattr(a, attr)
self.raw_data_dict['folder'] = a.folder
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(
[self.heterodyne_instr.frequency,
self.IVVI.parameters['dac{}'.format(self.dac_channel())]])
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_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_two_qubit_AllXY(device,
q0_name,
q1_name,
sequence_type='sequential',
MC=None,
result_logging_mode='lin_trans'):
if MC is None:
MC = qc.station.components['MC']
q0 = device.find_instrument(q0_name)
q1 = device.find_instrument(q1_name)
q0.prepare_for_timedomain()
q1.prepare_for_timedomain()
double_points = True
AllXY = mqqs.two_qubit_AllXY(q0_name,
q1_name,
RO_target=q0_name,
sequence_type=sequence_type,
replace_q1_pulses_X180=False,
double_points=double_points)
op_dict = device.get_operation_dict()
for q in device.qubits():
op_dict['I ' + q]['instruction'] = ''
s = swf.QASM_Sweep(AllXY.name, device.central_controller.get_instr(),
op_dict)
d = det.UHFQC_integrated_average_detector(
device.acquisition_instrument.get_instr(),
AWG=device.central_controller.get_instr(),
nr_averages=q0.RO_acq_averages(),
integration_length=q0.RO_acq_integration_length(),
result_logging_mode=result_logging_mode,
channels=[
q0.RO_acq_weight_function_I(),
q1.RO_acq_weight_function_I()
])
MC.set_sweep_function(s)
MC.set_sweep_points(np.arange(21 * (1 + double_points)))
MC.set_detector_function(d)
MC.run('AllXY_{}_{}'.format(q0_name, q1_name))
ma.MeasurementAnalysis()
def _measure_1D(self, parameter, values, label, analyze=True):
MC = self.instr_mc.get_instr()
initial_value = parameter()
detector = self.prepare_readout()
MC.set_sweep_function(parameter)
MC.set_sweep_points(values)
MC.set_detector_function(detector)
MC.run(name=label + self.msmt_suffix)
if analyze:
ma.MeasurementAnalysis(auto=True)
parameter(initial_value)
def extract_data(self):
"""
Custom data extraction for this specific experiment.
"""
self.raw_data_dict = OrderedDict()
self.timestamps = a_tools.get_timestamps_in_range(self.t_start,
self.t_stop,
label=self.labels)
a = ma_old.MeasurementAnalysis(timestamp=self.timestamps[0],
auto=False,
close_file=False)
a.get_naming_and_values()
time = a.sweep_points[:-6:2]
self.raw_data_dict['time'] = time
self.raw_data_dict['time units'] = a.sweep_unit[0]
self.raw_data_dict['value_names'] = a.value_names
self.raw_data_dict['value_units'] = a.value_units
self.raw_data_dict['measurementstring'] = a.measurementstring
self.raw_data_dict['timestamp_string'] = a.timestamp_string
self.raw_data_dict['cal_pts_zero'] = OrderedDict()
self.raw_data_dict['cal_pts_one'] = OrderedDict()
self.raw_data_dict['cal_pts_two'] = OrderedDict()
self.raw_data_dict['measured_values_I'] = OrderedDict()
self.raw_data_dict['measured_values_X'] = OrderedDict()
for i, val_name in enumerate(a.value_names):
self.raw_data_dict['cal_pts_zero'][val_name] = \
a.measured_values[i][-6:-4]
self.raw_data_dict['cal_pts_one'][val_name] = \
a.measured_values[i][-4:-2]
self.raw_data_dict['cal_pts_two'][val_name] = \
a.measured_values[i][-2:]
self.raw_data_dict['measured_values_I'][val_name] = \
a.measured_values[i][::2][:-3]
self.raw_data_dict['measured_values_X'][val_name] = \
a.measured_values[i][1::2][:-3]
self.raw_data_dict['folder'] = a.folder
self.raw_data_dict['timestamps'] = self.timestamps
a.finish() # closes data file
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_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,
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_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 extract_data(self):
self.raw_data_dict = OrderedDict()
self.timestamps = a_tools.get_timestamps_in_range(self.t_start,
self.t_stop,
label=self.labels)
self.raw_data_dict['timestamps'] = self.timestamps
self.timestamp = self.timestamps[0]
a = ma_old.MeasurementAnalysis(timestamp=self.timestamp,
auto=False,
close_file=False)
a.get_naming_and_values()
self.raw_data_dict['xvals'] = a.sweep_points
self.raw_data_dict['xlabel'] = a.parameter_names[0]
self.raw_data_dict['xunit'] = a.parameter_units[0]
self.raw_data_dict['bins'] = a.data_file['Experimental Data'][
'Experimental Metadata']['bins'].value
if self.gst_exp_list_filepath == None:
gst_exp_list_filename = a.data_file['Experimental Data'][
'Experimental Metadata'].attrs['gst_exp_list_filename']
self.raw_data_dict['gst_exp_list_filepath'] = os.path.join(
gst_exp_filepath, gst_exp_list_filename)
else:
self.raw_data_dict['gst_exp_list_filepath'] = \
self.gst_exp_list_filepath
self.raw_data_dict['expList'] = pygsti_expList_from_dataset(
self.raw_data_dict['gst_exp_list_filepath'])
self.raw_data_dict['measured_values'] = a.measured_values
self.raw_data_dict['value_names'] = a.value_names
self.raw_data_dict['value_units'] = a.value_units
self.raw_data_dict['measurementstring'] = a.measurementstring
self.measurementstring = a.measurementstring
self.raw_data_dict['folder'] = a.folder
a.finish()
