code: def qjit(
      fn=None, *args, compiler="catalyst", **kwargs
  ):  # pylint:disable=keyword-arg-before-vararg
      """A decorator for just-in-time compilation of hybrid quantum programs in PennyLane.
  
      This decorator enables both just-in-time and ahead-of-time compilation,
      depending on the compiler package and whether function argument type hints
      are provided.
  
      .. note::
  
          Currently, only the :doc:`Catalyst <catalyst:index>` hybrid quantum-classical
          compiler is supported. The Catalyst compiler works with the JAX interface.
  
  
          For more details, see the :doc:`Catalyst documentation <catalyst:index>` and
          :func:`catalyst.qjit`.
  
      .. note::
  
          Catalyst supports compiling QNodes that use ``lightning.qubit``,
          ``lightning.kokkos``, ``braket.local.qubit``, and ``braket.aws.qubit``
          devices. It does not support ``default.qubit``.
  
          Please see the :doc:`Catalyst documentation <catalyst:index>` for more details on
          supported devices, operations, and measurements.
  
      Args:
          fn (Callable): Hybrid (quantum-classical) function to compile
          compiler (str): Name of the compiler to use for just-in-time compilation
          autograph (bool): Experimental support for automatically converting Python control
              flow statements to Catalyst-compatible control flow. Currently supports Python ``if``,
              ``elif``, ``else``, and ``for`` statements. Note that this feature requires an
              available TensorFlow installation. See the
              :doc:`AutoGraph guide <catalyst:dev/autograph>` for more information.
          keep_intermediate (bool): Whether or not to store the intermediate files throughout the
              compilation. The files are stored at the location where the Python script is called.
              If ``True``, intermediate representations are available via the
              :attr:`~.QJIT.mlir`, :attr:`~.QJIT.jaxpr`, and :attr:`~.QJIT.qir`, representing
              different stages in the optimization process.
          verbosity (bool): If ``True``, the tools and flags used by Catalyst behind the scenes are
              printed out.
          logfile (TextIOWrapper): File object to write verbose messages to (default is
              ``sys.stderr``)
          pipelines (List[Tuple[str, List[str]]]): A list of pipelines to be executed. The
              elements of this list are named sequences of MLIR passes to be executed. A ``None``
              value (the default) results in the execution of the default pipeline. This option is
              considered to be used by advanced users for low-level debugging purposes.
  
      Returns:
          catalyst.QJIT: A class that, when executed, just-in-time compiles and executes the
          decorated function
  
      Raises:
          FileExistsError: Unable to create temporary directory
          PermissionError: Problems creating temporary directory
          OSError: Problems while creating folder for intermediate files
          AutoGraphError: Raised if there was an issue converting the given the function(s).
          ImportError: Raised if AutoGraph is turned on and TensorFlow could not be found.
  
      **Example**
  
      In just-in-time (JIT) mode, the compilation is triggered at the call site the
      first time the quantum function is executed. For example, ``circuit`` is
      compiled as early as the first call.
  
      .. code-block:: python
  
          dev = qml.device("lightning.qubit", wires=2)
  
          @qml.qjit
          @qml.qnode(dev)
          def circuit(theta):
              qml.Hadamard(wires=0)
              qml.RX(theta, wires=1)
              qml.CNOT(wires=[0,1])
              return qml.expval(qml.PauliZ(wires=1))
  
      >>> circuit(0.5)  # the first call, compilation occurs here
      array(0.)
      >>> circuit(0.5)  # the precompiled quantum function is called
      array(0.)
  
      :func:`~.qjit` compiled programs also support nested container types as inputs and outputs of
      compiled functions. This includes lists and dictionaries, as well as any data structure implementing
      the `JAX PyTree <https://jax.readthedocs.io/en/latest/pytrees.html>`__.
  
      .. code-block:: python
  
          dev = qml.device("lightning.qubit", wires=2)
  
          @qml.qjit
          @qml.qnode(dev)
          def f(x):
              qml.RX(x["rx_param"], wires=0)
              qml.RY(x["ry_param"], wires=0)
              qml.CNOT(wires=[0, 1])
              return {
                  "XY": qml.expval(qml.PauliX(0) @ qml.PauliY(1)),
                  "X": qml.expval(qml.PauliX(0)),
              }
  
      >>> x = {"rx_param": 0.5, "ry_param": 0.54}
      >>> f(x)
      {'X': array(-0.75271018), 'XY': array(1.)}
  
      For more details on using the :func:`~.qjit` decorator and Catalyst
      with PennyLane, please refer to the Catalyst
      :doc:`quickstart guide <catalyst:dev/quick_start>`,
      as well as the :doc:`sharp bits and debugging tips <catalyst:dev/sharp_bits>`
      page for an overview of the differences between Catalyst and PennyLane, and
      how to best structure your workflows to improve performance when
      using Catalyst.
      """
  
      if not available(compiler):
          raise CompileError(
              f"The {compiler} package is not installed."
          )  # pragma: no cover
  
      # Check the minimum version of 'compiler' if installed
      _check_compiler_version(compiler)
  
      compilers = AvailableCompilers.names_entrypoints
      qjit_loader = compilers[compiler]["qjit"].load()
      return qjit_loader(fn=fn, *args, **kwargs)
  
label_desc: Use image node_id 1 for calling a global function with example usage: qjit(fn) and returns: qjit_loader