Experiments can have their own associated
Calibration object. In the
event that a certain calibration property is defined in an experiment,
its value has precedence over the value set in the baseline calibration
on the device setup. However, subsequent experiments in which this
property is not defined within that experiment’s calibration, will
revert to the baseline calibration values.
This is useful if, for example, one wants to verify the qubit frequency by sweeping the drive frequency, but still wants to keep track of the previously calibrated value.
An experimental calibration is defined and set on the experiment in
analogy to the baseline
Calibration object on the device setup,
my_exp_calibration = Calibration() my_exp_calibration['exp_signal'] = SignalCalibration( // .... define calibration properties of experimental line ) my_exp.set_calibration(my_exp_calibration)
It is important to ensure that the keys defined in the experimental
calibration object correspond to the ids of the
defined in the experiment.
Calibration acts together with the signal map set on
Experiment on execution to ensure the proper adjustment of
calibrated parameters for the duration of the experiment.
The calibration properties that can be defined on an
are the union of the properties of
PhysicalChannels, so that all relevant parameters can be adjusted to
the current experiments' needs. For a list of supported properties,
sorted by instrument and channel type, see the table below.
|Instrument||channel type||supported properties|