boulderopalscaleup.experiments.ReadoutClassifier | Experiment library | Boulder Opal Scale Up | References

class boulderopalscaleup.experiments.ReadoutClassifier(*, transmon, recycle_delay_ns=200000, shot_count=5000, measure_waveform=None, classifier_state_count=2, run_mixer_calibration=False, update='auto')

Parameters for training a readout classifier.

This does not optimize the readout pulse itself. The measure waveform is fixed (provided or using the device’s default). To optimize the readout pulse use ReadoutOptimization.

Variables

transmon (str) – The reference for the transmon to target.
recycle_delay_ns (int , optional) – The delay between consecutive shots, in nanoseconds. Defaults to 200,000 ns.
shot_count (int , optional) – The number of shots to take. Defaults to 5,000.
measure_waveform (ConstantWaveform or None , optional) – The waveform to use for the measurement pulse. Defaults to the measurement defcal.
run_mixer_calibration (bool , optional) – Whether to run mixer calibrations before running a program. Defaults to False.
update ( "auto" or "off" or "prompt" , optional) – How the device should be updated after an experiment run. Defaults to auto.
classifier_state_count (int , optional) – The number of states to classify. If greater than 2, assumes that the higher energy levels were previously calibrated. Currently only supports 2 or 3 states. Defaults to 2.