control_flow_library#
Contains the control flow operations for the Qblox backend.
Module Contents#
Classes#
Conditional over another operation. |
- class ConditionalOperation(body: quantify_scheduler.operations.operation.Operation | quantify_scheduler.schedules.schedule.Schedule, qubit_name: str, t0: float = 0.0)[source]#
Bases:
quantify_scheduler.operations.control_flow_library.ConditionalOperation
Conditional over another operation.
If a preceding thresholded acquisition on
qubit_name
results in a “1”, the body will be executed, otherwise it will generate a wait time that is equal to the time of the subschedule, to ensure the absolute timing of later operations remains consistent.- Parameters:
body – Operation to be conditionally played
qubit_name – Name of the device element on which the body will be conditioned
t0 – Time offset, by default 0
Example
A conditional reset can be implemented as follows:
# relevant imports from quantify_scheduler import Schedule from quantify_scheduler.qblox.operations import ConditionalOperation from quantify_scheduler.operations import Measure, X # define conditional reset as a Schedule conditional_reset = Schedule("conditional reset") conditional_reset.add(Measure("q0", feedback_trigger_label="q0")) conditional_reset.add( ConditionalOperation(body=X("q0"), qubit_name="q0"), rel_time=364e-9, )
{'name': '5b053cd5-acce-48e7-8221-60cd1c929bf6', 'operation_id': '4107737710936014360', 'timing_constraints': [TimingConstraint(ref_schedulable=None, ref_pt=None, ref_pt_new=None, rel_time=3.64e-07)], 'label': '5b053cd5-acce-48e7-8221-60cd1c929bf6'}