def test_state_logging_and_counters(self):
'''
Test uses mode 1 integration logging. Checks if the results
for the integration shots, states and state counters produce
the same results for a given threshold.
Does not do this using a dedicated sequence.
'''
log_length = 50
self.CBox.set('acquisition_mode', 0)
self.CBox.set('log_length', log_length)
weights0 = np.ones(512)
weights1 = np.ones(512)
self.CBox.set('sig0_integration_weights', weights0)
self.CBox.set('sig1_integration_weights', weights1)
self.CBox.set('acquisition_mode', 1)
[IntLog0, IntLog1] = self.CBox.get_integration_log_results()
self.CBox.set('acquisition_mode', 0)
threshold = int(np.mean(IntLog0))
self.CBox.sig0_threshold_line.set(threshold)
self.CBox.sig1_threshold_line.set(threshold)
self.CBox.set('acquisition_mode', 1)
log = self.CBox.get_integration_log_results()
counters = self.CBox.get_qubit_state_log_counters()
self.CBox.set('acquisition_mode', 0)
digi_shots = dm_tools.digitize(
log, threshold=CBox.sig0_threshold_line.get())
software_err_fracs_0 = dm_tools.count_error_fractions(digi_shots[0])
software_err_fracs_1 = dm_tools.count_error_fractions(digi_shots[1])
# Test if software analysis of the counters and CBox counters are the
# same
self.assertTrue((software_err_fracs_0 == counters[0]).all())
self.assertTrue((software_err_fracs_1 == counters[1]).all())
def test_state_logging_and_counters(self):
'''
Test uses mode 1 integration logging. Checks if the results
for the integration shots, states and state counters produce
the same results for a given threshold.
Does not do this using a dedicated sequence.
'''
log_length = 50
self.CBox.set('acquisition_mode', 0)
self.CBox.set('log_length', log_length)
weights0 = np.ones(512)
weights1 = np.ones(512)
self.CBox.set('sig0_integration_weights', weights0)
self.CBox.set('sig1_integration_weights', weights1)
self.CBox.set('acquisition_mode', 1)
[IntLog0, IntLog1] = self.CBox.get_integration_log_results()
self.CBox.set('acquisition_mode', 0)
threshold = int(np.mean(IntLog0))
self.CBox.sig0_threshold_line.set(threshold)
self.CBox.sig1_threshold_line.set(threshold)
self.CBox.set('acquisition_mode', 1)
log = self.CBox.get_integration_log_results()
counters = self.CBox.get_qubit_state_log_counters()
self.CBox.set('acquisition_mode', 0)
digi_shots = dm_tools.digitize(
log, threshold=CBox.sig0_threshold_line.get())
software_err_fracs_0 = dm_tools.count_error_fractions(digi_shots[0])
software_err_fracs_1 = dm_tools.count_error_fractions(digi_shots[1])
# Test if software analysis of the counters and CBox counters are the
# same
self.assertTrue((software_err_fracs_0 == counters[0]).all())
self.assertTrue((software_err_fracs_1 == counters[1]).all())
def _measure_err_frac(self):
vals = self.measure_shots()
fracs = np.array(count_error_fractions(vals)) / self.N_shots()
return fracs[1]
def _measure_err_frac(self):
vals = self.measure_shots()
fracs = np.array(count_error_fractions(vals))/self.N_shots()
return fracs[1]
