Result

class qctrl.dynamic.types.closed_loop_optimization_step.Result(*, test_points=None, state=None, action=None, errors=None)

Result from the optimizer.

Variables

• test_points (List[qctrl.dynamic.types.closed_loop_optimization_step.TestPoint]) – New test points at which the cost function should be evaluated for the next optimization step.

• state (str) – The encoded optimizer state to be passed back in the next step.

• action (qctrl.dynamic.types.CoreAction) – Metadata about the execution of the function.

• errors (List[qctrl.dynamic.types.Error]) – Related validation errors.