control_flow_library

Standard control flow operations for use with the quantify_scheduler.

Module Contents

Classes

Loop	Loop over another operation.
Conditional	Conditional operation.

class Loop(repetitions: int, t0: float = 0)

Bases: quantify_scheduler.operations.operation.Operation

Loop over another operation.

Cannot be added to Schedule manually, to be used with the control_flow arg of Schedule.add

Parameters:

• repetitions (int) – number of repetitions

• t0 (float, optional) – time offset, by default 0

class Conditional(qubit_name: str, t0: float = 0)

Bases: quantify_scheduler.operations.operation.Operation

Conditional operation.

Cannot be added to Schedule manually, to be used with the control_flow arg of add().

When passing control_flow=Conditional(<qubit_name>) to Schedule.add, the subschedule will be conditional on qubit_name. In other words, if a preceding thresholded acquisition on qubit_name results in a “1”, the subschedule 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:

• qubit_name (str) – The name of the qubit to condition on.

• t0 (float, optional) – Time offset, by default 0

Example

A conditional reset can be implemented as follows:

example

# relevant imports from quantify_scheduler import Schedule from quantify_scheduler.operations.control_flow_library import Conditional from quantify_scheduler.operations.gate_library import Measure, X

# define schedule schedule = Schedule(“main schedule”)

# define a subschedule containing conditional reset conditional_reset = Schedule(“conditional reset”) conditional_reset.add(Measure(“q0”, feedback_trigger_label=”q0”)) sub_schedule = Schedule(“conditional x”) sub_schedule.add(X(“q0”)) conditional_reset.add(sub_schedule, control_flow=Conditional(“q0”))

# add conditional reset as if it were a gate schedule.add(conditional_reset)