def test_final_variance_runs(self):
exp = VarianceExperiment()
printer_final = Print(name="Final")
avgr = Averager('repeats', name="TestAverager")
var_buff = DataBuffer(name='Variance Buffer')
mean_buff = DataBuffer(name='Mean Buffer')
edges = [(exp.chan1, avgr.sink),
(avgr.final_variance, printer_final.sink),
(avgr.final_variance, var_buff.sink),
(avgr.source, mean_buff.sink)]
exp.set_graph(edges)
exp.run_sweeps()
# var_data = var_buff.get_data()['Variance'].reshape(var_buff.descriptor.data_dims())
# mean_data = mean_buff.get_data()['chan1'].reshape(mean_buff.descriptor.data_dims())
var_data = var_buff.output_data.reshape(
var_buff.descriptor.data_dims())
mean_data = mean_buff.output_data.reshape(
mean_buff.descriptor.data_dims())
orig_data = exp.vals.reshape(exp.chan1.descriptor.data_dims())
self.assertTrue(
np.abs(np.sum(mean_data - np.mean(orig_data, axis=0))) <= 1e-3)
self.assertTrue(
np.abs(np.sum(var_data -
np.var(orig_data, axis=0, ddof=1))) <= 1e-3)
def test_correlator(self):
exp = CorrelatorExperiment()
corr = Correlator()
buff = DataBuffer()
edges = [(exp.chan1, corr.sink), (exp.chan2, corr.sink),
(corr.source, buff.sink)]
exp.set_graph(edges)
exp.run_sweeps()
corr_data = buff.get_data()['Correlator']
expected_data = exp.vals * exp.vals
self.assertTrue(np.abs(np.sum(corr_data - expected_data)) <= 1e-4)
def test_buffer_metadata(self):
exp = SweptTestExperimentMetadata()
db = DataBuffer()
edges = [(exp.voltage, db.sink)]
exp.set_graph(edges)
exp.add_sweep(exp.field, np.linspace(0, 100.0, 4))
exp.add_sweep(exp.freq, np.linspace(0, 10.0, 3))
exp.run_sweeps()
data = db.get_data()
self.assertTrue(len(data) == 4 * 3 * 5)
self.assertTrue(len(data['samples_metadata']) == 4 * 3 * 5)
def test_buffer(self):
exp = SweptTestExperiment()
db = DataBuffer()
edges = [(exp.voltage, db.sink)]
exp.set_graph(edges)
exp.add_sweep(exp.field, np.linspace(0,100.0,4))
exp.add_sweep(exp.freq, np.linspace(0,10.0,3))
exp.run_sweeps()
data, desc = db.get_data()
self.assertTrue(data.shape == (3, 4, 5))
self.assertTrue(np.all(desc['field'] == np.linspace(0,100.0,4)))
def test_correlator(self):
exp = CorrelatorExperiment()
corr = Correlator(name='corr')
buff = DataBuffer()
edges = [(exp.chan1, corr.sink), (exp.chan2, corr.sink),
(corr.source, buff.sink)]
exp.set_graph(edges)
exp.run_sweeps()
time.sleep(0.01)
corr_data = buff.output_data
expected_data = exp.vals * exp.vals
self.assertAlmostEqual(np.sum(corr_data),
np.sum(expected_data),
places=0)
def test_buffer_multi(self):
exp = SweptTestExperiment()
db = DataBuffer()
edges = [(exp.voltage, db.sink), (exp.current, db.sink)]
exp.set_graph(edges)
exp.add_sweep(exp.field, np.linspace(0, 100.0, 4))
exp.add_sweep(exp.freq, np.linspace(0, 10.0, 3))
exp.run_sweeps()
data = db.get_data()
self.assertTrue(len(data) == 4 * 3 * 5)
self.assertTrue(len(data['current']) == 4 * 3 * 5)
self.assertTrue(len(data['voltage']) == 4 * 3 * 5)
self.assertTrue(len(data['field']) == 4 * 3 * 5)
def test_buffer_complex(self):
exp = SweptTestExperiment()
db = DataBuffer()
exp.voltage.descriptor.dtype = np.complex128
exp.current.descriptor.dtype = np.complex128
exp.complex_data = True
exp.update_descriptors()
edges = [(exp.voltage, db.sink)]
exp.set_graph(edges)
exp.add_sweep(exp.field, np.linspace(0,100.0,4))
exp.add_sweep(exp.freq, np.linspace(0,10.0,3))
exp.run_sweeps()
data, desc = db.get_data()
self.assertAlmostEqual(np.mean(data.imag)/np.mean(data.real), 2.0, places=3)
await self.voltage.push(r)
await asyncio.sleep(0.01)
if __name__ == '__main__':
exp = TestExperiment()
exp.leave_plot_server_open = True
# Create the plotter and the actual traces we'll need
plt = ManualPlotter("Manual Plotting Test",
x_label='X Thing',
y_label='Y Thing')
plt.add_data_trace("Example Data")
plt.add_fit_trace("Example Fit")
buff = DataBuffer()
edges = [(exp.voltage, buff.sink)]
exp.set_graph(edges)
# Create a plotter callback
def plot_me(plot):
ys = buff.get_data()['voltage']
xs = buff.descriptor.axes[0].points
plot["Example Data"] = (xs, ys)
plot["Example Fit"] = (xs, ys + 0.1)
exp.add_manual_plotter(plt, callback=plot_me)
exp.add_sweep(exp.amplitude, np.linspace(-5.0, 5.0, 100))
exp.run_sweeps()
def calibrate_mixer(qubit,
mixer="control",
first_cal="phase",
write_to_file=True,
offset_range=(-0.2, 0.2),
amp_range=(0.6, 1.4),
phase_range=(-np.pi / 6, np.pi / 6),
nsteps=51):
"""Calibrates IQ mixer offset, amplitude imbalanace, and phase skew.
See Analog Devices Application note AN-1039. Parses instrument connectivity from
the experiment settings YAML.
Arguments:
qubit: Qubit identifier string.
mixer: One of ("control", "measure") to select which IQ channel is calibrated.
first_cal: One of ("phase", "amplitude") to select which adjustment is attempted
first. You should pick whichever the particular mixer is most sensitive to.
For example, a mixer with -40dBc sideband supression at 1 degree of phase skew
and 0.1 dB amplitude imbalance should calibrate the phase first.
"""
spm = auspex.config.single_plotter_mode
auspex.config.single_plotter_mode = True
def sweep_offset(name, pts):
mce.clear_sweeps()
mce.add_sweep(getattr(mce, name), pts)
mce.keep_instruments_connected = True
mce.run_sweeps()
offset_pts = np.linspace(offset_range[0], offset_range[1], nsteps)
amp_pts = np.linspace(amp_range[0], amp_range[1], nsteps)
phase_pts = np.linspace(phase_range[0], phase_range[1], nsteps)
buff = DataBuffer()
plt = ManualPlotter(name="Mixer offset calibration",
x_label='{} {} offset (V)'.format(qubit, mixer),
y_label='Power (dBm)')
plt.add_data_trace("I-offset", {'color': 'C1'})
plt.add_data_trace("Q-offset", {'color': 'C2'})
plt.add_fit_trace("Fit I-offset",
{'color': 'C1'}) #TODO: fix axis labels
plt.add_fit_trace("Fit Q-offset", {'color': 'C2'})
plt2 = ManualPlotter(name="Mixer amp/phase calibration",
x_label='{} {} amplitude (V)/phase (rad)'.format(
qubit, mixer),
y_label='Power (dBm)')
plt2.add_data_trace("phase_skew", {'color': 'C3'})
plt2.add_data_trace("amplitude_factor", {'color': 'C4'})
plt2.add_fit_trace("Fit phase_skew", {'color': 'C3'})
plt2.add_fit_trace("Fit amplitude_factor", {'color': 'C4'})
mce = MixerCalibrationExperiment(qubit, mixer=mixer)
mce.add_manual_plotter(plt)
mce.add_manual_plotter(plt2)
mce.leave_plot_server_open = True
QubitExpFactory.load_instruments(mce, mce.instruments_to_enable)
edges = [(mce.amplitude, buff.sink)]
mce.set_graph(edges)
sweep_offset("I_offset", offset_pts)
I1_amps = np.array([x[1] for x in buff.get_data()])
try:
I1_offset, xpts, ypts = find_null_offset(offset_pts[1:],
I1_amps[1:])
except:
mce.extra_plot_server.stop()
return
plt["I-offset"] = (offset_pts, I1_amps)
plt["Fit I-offset"] = (xpts, ypts)
logger.info("Found first pass I offset of {}.".format(I1_offset))
mce.I_offset.value = I1_offset
mce.first_exp = False # slight misnomer to indicate that no new plot is needed
sweep_offset("Q_offset", offset_pts)
Q1_amps = np.array([x[1] for x in buff.get_data()])
try:
Q1_offset, xpts, ypts = find_null_offset(offset_pts[1:],
Q1_amps[1:])
except:
mce.extra_plot_server.stop()
return
plt["Q-offset"] = (offset_pts, Q1_amps)
plt["Fit Q-offset"] = (xpts, ypts)
logger.info("Found first pass Q offset of {}.".format(Q1_offset))
mce.Q_offset.value = Q1_offset
sweep_offset("I_offset", offset_pts)
I2_amps = np.array([x[1] for x in buff.get_data()])
try:
I2_offset, xpts, ypts = find_null_offset(offset_pts[1:],
I2_amps[1:])
except:
mce.extra_plot_server.stop()
return
plt["I-offset"] = (offset_pts, I2_amps)
plt["Fit I-offset"] = (xpts, ypts)
logger.info("Found second pass I offset of {}.".format(I2_offset))
mce.I_offset.value = I2_offset
#this is a bit hacky but OK...
cals = {"phase": "phase_skew", "amplitude": "amplitude_factor"}
cal_pts = {"phase": phase_pts, "amplitude": amp_pts}
cal_defaults = {"phase": 0.0, "amplitude": 1.0}
if first_cal not in cals.keys():
raise ValueError(
"First calibration should be one of ('phase, amplitude'). Instead got {}"
.format(first_cal))
second_cal = list(set(cals.keys()).difference({
first_cal,
}))[0]
mce.sideband_modulation = True
sweep_offset(cals[first_cal], cal_pts[first_cal])
amps1 = np.array([x[1] for x in buff.get_data()])
try:
offset1, xpts, ypts = find_null_offset(
cal_pts[first_cal][1:],
amps1[1:],
default=cal_defaults[first_cal])
except:
mce.extra_plot_server.stop()
return
plt2[cals[first_cal]] = (cal_pts[first_cal], amps1)
plt2["Fit " + cals[first_cal]] = (xpts, ypts)
logger.info("Found {} of {}.".format(
str.replace(cals[first_cal], '_', ' '), offset1))
getattr(mce, cals[first_cal]).value = offset1
sweep_offset(cals[second_cal], cal_pts[second_cal])
amps2 = np.array([x[1] for x in buff.get_data()])
try:
offset2, xpts, ypts = find_null_offset(
cal_pts[second_cal][1:],
amps2[1:],
default=cal_defaults[second_cal])
except:
mce.extra_plot_server.stop()
return
plt2[cals[second_cal]] = (cal_pts[second_cal], amps2)
plt2["Fit " + cals[second_cal]] = (xpts, ypts)
logger.info("Found {} of {}.".format(
str.replace(cals[first_cal], '_', ' '), offset2))
getattr(mce, cals[second_cal]).value = offset2
mce.disconnect_instruments()
try:
mce.extra_plot_server.stop()
except:
logger.info('Mixer plot server was not successfully stopped.')
if write_to_file:
mce.write_to_file()
logger.info(("Mixer calibration: I offset = {}, Q offset = {}, "
"Amplitude Imbalance = {}, Phase Skew = {}").format(
mce.I_offset.value, mce.Q_offset.value,
mce.amplitude_factor.value, mce.phase_skew.value))
auspex.config.single_plotter_mode = spm