fix: Update code

pennylane/workflow/qnode.py

@@ -60,11 +60,11 @@ def _convert_to_interface(result, interface: Interface):
 def _make_execution_config(
     circuit: Optional["QNode"], diff_method=None, mcm_config=None
 ) -> "qml.devices.ExecutionConfig":
-    circuit_interface = getattr(circuit, "interface", Interface.NUMPY)
+    circuit_interface = getattr(circuit, "interface", "numpy")
     execute_kwargs = getattr(circuit, "execute_kwargs", {})
     gradient_kwargs = getattr(circuit, "gradient_kwargs", {})
     grad_on_execution = execute_kwargs.get("grad_on_execution")
-    if circuit_interface == Interface.JAX:
+    if circuit_interface == "jax":
         grad_on_execution = False
     elif grad_on_execution == "best":
         grad_on_execution = None
@@ -288,6 +288,8 @@ class QNode:
         gradient_kwargs (dict): A dictionary of keyword arguments that are passed to the differentiation
             method. Please refer to the :mod:`qml.gradients <.gradients>` module for details
             on supported options for your chosen gradient transform.
+        autograph (bool): Whether to use AutoGraph to convert Python control flow to native PennyLane
+            control flow. For more information, refer to :doc:`Autograph </development/autograph>`. Defaults to True.
 
     **Example**
 
@@ -505,6 +507,7 @@ def __init__(
         postselect_mode: Literal[None, "hw-like", "fill-shots"] = None,
         mcm_method: Literal[None, "deferred", "one-shot", "tree-traversal"] = None,
         gradient_kwargs: Optional[dict] = None,
+        autograph: bool = True,
         **kwargs,
     ):
         self._init_args = locals()
@@ -559,6 +562,7 @@ def __init__(
             self._qfunc_uses_shots_arg = False
 
         # input arguments
+        self._autograph = autograph
         self.func = func
         self.device = device
         self._interface = get_canonical_interface_name(interface)