Update changelog

PennyLaneAI · Oct 13, 2023 · f58c4ca · f58c4ca
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diff --git a/doc/releases/changelog-dev.md b/doc/releases/changelog-dev.md
@@ -63,6 +63,9 @@
 * Transforms can be applied on devices following the new device API.
  [(#4667)](https://github.com/PennyLaneAI/pennylane/pull/4667)
 
+* All gradient transforms are updated to the new transform program system.
+ [(#4595)](https://github.com/PennyLaneAI/pennylane/pull/4595)
+
 * All quantum functions transforms are update to the new transform program system.
  [(#4439)](https://github.com/PennyLaneAI/pennylane/pull/4439)
 

diff --git a/pennylane/interfaces/execution.py b/pennylane/interfaces/execution.py
@@ -424,6 +424,8 @@ def execute(
         interface (str): The interface that will be used for classical autodifferentiation.
             This affects the types of parameters that can exist on the input tapes.
             Available options include ``autograd``, ``torch``, ``tf``, ``jax`` and ``auto``.
+        transform_program(qml.transforms.core.TransformProgram): A transform program to be applied to the initial tape.
+        config (qml.devices.ExecutionConfig): A datastructure describing the parameters needed to fully describe the execution.
         grad_on_execution (bool, str): Whether the gradients should be computed on the execution or not. Only applies
             if the device is queried for the gradient; gradient transform
             functions available in ``qml.gradients`` are only supported on the backward