Repository: PennyLaneAI/pennylane
Pull request #6807 (2025-01-10 18:59:10)

`qml.execute` no longer accepts `mcm_config` argument
**Context:**

Further `qml.workflow` clean-up. This enables `qml.execute` to mimic the signature of `QNode`. This ensures that we don't get incompatible configurations because we have two different entry points.

**Description of the Change:**

### **Eco-System**
- [x] Catalyst: https://github.com/PennyLaneAI/catalyst/pull/1452
- [x] Lightning: No instances of deprecated code found.
- [x] QML Demos: No instances of deprecated code found.

### **Plugins**
- [x] Pennylane-AQT: No instances of deprecated code found.
- [x] Pennylane-Qiskit: No instances of deprecated code found.
- [x] Pennylane-IonQ: No instances of deprecated code found.
- [x] Pennylane-Qrack: No instances of deprecated code found.
- [x] Pennylane-Cirq: No instances of deprecated code found.
- [x] Pennylane-Qulacs: No instances of deprecated code found.

Introduce kwargs `postselect_mode` and `mcm_method` to `qml.execute` signature. Raise deprecation warning to user if they try to use `mcm_config` kwarg.

Side-effect: Had to `xfail` any tests that had to do with Catalyst since they assume certain keys from the `QNode.execute_kwargs`. Will be reverted in https://github.com/PennyLaneAI/pennylane/pull/6873.

**Benefits:**

Keyword parity with `qml.QNode`.

**Possible Drawbacks:** None identified.

[sc-80541]


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codecov[bot]: ## [Codecov](https://app.codecov.io/gh/PennyLaneAI/pennylane/pull/6807?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PennyLaneAI) Report
Attention: Patch coverage is `66.66667%` with `3 lines` in your changes missing coverage. Please review.
> Project coverage is 99.55%. Comparing base [(`807bc4c`)](https://app.codecov.io/gh/PennyLaneAI/pennylane/commit/807bc4c4d1df248951550fe7b7264c9fa83c2668?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PennyLaneAI) to head [(`c9a1f26`)](https://app.codecov.io/gh/PennyLaneAI/pennylane/commit/c9a1f269807801e4c08da0d05cc0d6b8c3f842f7?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PennyLaneAI).
> Report is 2 commits behind head on master.

| [Files with missing lines](https://app.codecov.io/gh/PennyLaneAI/pennylane/pull/6807?dropdown=coverage&src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PennyLaneAI) | Patch % | Lines |
|---|---|---|
| [pennylane/workflow/execution.py](https://app.codecov.io/gh/PennyLaneAI/pennylane/pull/6807?src=pr&el=tree&filepath=pennylane%2Fworkflow%2Fexecution.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PennyLaneAI#diff-cGVubnlsYW5lL3dvcmtmbG93L2V4ZWN1dGlvbi5weQ==) | 40.00% | [3 Missing :warning: ](https://app.codecov.io/gh/PennyLaneAI/pennylane/pull/6807?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PennyLaneAI) |

<details><summary>Additional details and impacted files</summary>


```diff
@@            Coverage Diff             @@
##           master    #6807      +/-   ##
==========================================
- Coverage   99.60%   99.55%   -0.06%     
==========================================
  Files         476      476              
  Lines       45237    45241       +4     
==========================================
- Hits        45060    45040      -20     
- Misses        177      201      +24     
```

</details>

[:umbrella: View full report in Codecov by Sentry](https://app.codecov.io/gh/PennyLaneAI/pennylane/pull/6807?dropdown=coverage&src=pr&el=continue&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PennyLaneAI).   
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Patch:
diff --git a/doc/development/deprecations.rst b/doc/development/deprecations.rst
index 9b8b68f04..a61b83382 100644
--- a/doc/development/deprecations.rst
+++ b/doc/development/deprecations.rst
@@ -9,6 +9,12 @@ deprecations are listed below.
 Pending deprecations
 --------------------
 
+* The ``mcm_config`` argument to ``qml.execute`` has been deprecated.
+  Instead, use the ``mcm_method`` and ``postselect_mode`` arguments.
+
+  - Deprecated in v0.41
+  - Will be removed in v0.42
+
 * Specifying gradient keyword arguments as any additional keyword argument to the qnode is deprecated
   and will be removed in v0.42.  The gradient keyword arguments should be passed to the new
   keyword argument ``gradient_kwargs`` via an explicit dictionary, like ``gradient_kwargs={"h": 1e-4}``.
diff --git a/doc/releases/changelog-dev.md b/doc/releases/changelog-dev.md
index 9d7e3a504..882803922 100644
--- a/doc/releases/changelog-dev.md
+++ b/doc/releases/changelog-dev.md
@@ -84,6 +84,9 @@
 
 <h3>Deprecations 👋</h3>
 
+* The `mcm_method` keyword in `qml.execute` is deprecated. Instead, use the ``mcm_method`` and ``postselect_mode`` arguments.
+  [(#6807)](https://github.com/PennyLaneAI/pennylane/pull/6807)
+
 * Specifying gradient keyword arguments as any additional keyword argument to the qnode is deprecated
   and will be removed in v0.42.  The gradient keyword arguments should be passed to the new
   keyword argument `gradient_kwargs` via an explicit dictionary. This change will improve qnode argument
diff --git a/pennylane/workflow/_capture_qnode.py b/pennylane/workflow/_capture_qnode.py
index d4b23f2cb..2552770a1 100644
--- a/pennylane/workflow/_capture_qnode.py
+++ b/pennylane/workflow/_capture_qnode.py
@@ -107,7 +107,6 @@ features is non-exhaustive.
 
 """
 from copy import copy
-from dataclasses import asdict
 from functools import partial
 from numbers import Number
 from warnings import warn
@@ -404,8 +403,7 @@ def capture_qnode(qnode: "qml.QNode", *args, **kwargs) -> "qml.typing.Result":
     qfunc_jaxpr = jax.make_jaxpr(flat_fn)(*args)
 
     execute_kwargs = copy(qnode.execute_kwargs)
-    mcm_config = asdict(execute_kwargs.pop("mcm_config"))
-    qnode_kwargs = {"diff_method": qnode.diff_method, **execute_kwargs, **mcm_config}
+    qnode_kwargs = {"diff_method": qnode.diff_method, **execute_kwargs}
 
     flat_args = jax.tree_util.tree_leaves(args)
 
diff --git a/pennylane/workflow/execution.py b/pennylane/workflow/execution.py
index cfe93f322..fb9ac5ef7 100644
--- a/pennylane/workflow/execution.py
+++ b/pennylane/workflow/execution.py
@@ -47,14 +47,16 @@ def execute(
     diff_method: Optional[Union[Callable, SupportedDiffMethods, TransformDispatcher]] = None,
     interface: Optional[InterfaceLike] = Interface.AUTO,
     *,
+    transform_program: TransformProgram = None,
     grad_on_execution: Literal[bool, "best"] = "best",
     cache: Union[None, bool, dict, Cache] = True,
     cachesize: int = 10000,
     max_diff: int = 1,
     device_vjp: Union[bool, None] = False,
+    postselect_mode=None,
+    mcm_method=None,
     gradient_kwargs: dict = None,
-    transform_program: TransformProgram = None,
-    mcm_config: "qml.devices.MCMConfig" = None,
+    mcm_config: "qml.devices.MCMConfig" = "unset",
     config="unset",
     inner_transform="unset",
 ) -> ResultBatch:
@@ -86,10 +88,18 @@ def execute(
             (classical) computational overhead during the backward pass.
         device_vjp=False (Optional[bool]): whether or not to use the device-provided Jacobian
             product if it is available.
-        mcm_config (dict): Dictionary containing configuration options for handling
-            mid-circuit measurements.
+        postselect_mode (str): Configuration for handling shots with mid-circuit measurement
+            postselection. Use ``"hw-like"`` to discard invalid shots and ``"fill-shots"`` to
+            keep the same number of shots. Default is ``None``.
+        mcm_method (str): Strategy to use when executing circuits with mid-circuit measurements.
+            ``"deferred"`` is ignored. If mid-circuit measurements are found in the circuit,
+            the device will use ``"tree-traversal"`` if specified and the ``"one-shot"`` method
+            otherwise. For usage details, please refer to the
+            :doc:`dynamic quantum circuits page </introduction/dynamic_quantum_circuits>`.
         gradient_kwargs (dict): dictionary of keyword arguments to pass when
             determining the gradients of tapes.
+        mcm_config="unset": **DEPRECATED**. This keyword argument has been replaced by ``postselect_mode``
+            and ``mcm_method`` and will be removed in v0.42.
         config="unset": **DEPRECATED**. This keyword argument has been deprecated and
             will be removed in v0.42.
         inner_transform="unset": **DEPRECATED**. This keyword argument has been deprecated
@@ -173,6 +183,14 @@ def execute(
             qml.PennyLaneDeprecationWarning,
         )
 
+    if mcm_config != "unset":
+        warn(
+            "The mcm_config argument is deprecated and will be removed in v0.42, use mcm_method and postselect_mode instead.",
+            qml.PennyLaneDeprecationWarning,
+        )
+        mcm_method = mcm_config.mcm_method
+        postselect_mode = mcm_config.postselect_mode
+
     if logger.isEnabledFor(logging.DEBUG):
         logger.debug(
             (
@@ -209,7 +227,7 @@ def execute(
         gradient_method=diff_method,
         grad_on_execution=None if grad_on_execution == "best" else grad_on_execution,
         use_device_jacobian_product=device_vjp,
-        mcm_config=mcm_config or {},
+        mcm_config=qml.devices.MCMConfig(postselect_mode=postselect_mode, mcm_method=mcm_method),
         gradient_keyword_arguments=gradient_kwargs or {},
         derivative_order=max_diff,
     )
diff --git a/pennylane/workflow/qnode.py b/pennylane/workflow/qnode.py
index 39659dbc9..ea1a9e339 100644
--- a/pennylane/workflow/qnode.py
+++ b/pennylane/workflow/qnode.py
@@ -107,6 +107,10 @@ def _to_qfunc_output_type(
     return qml.pytrees.unflatten(results, qfunc_output_structure)
 
 
+def _validate_mcm_config(postselect_mode: str, mcm_method: str) -> None:
+    qml.devices.MCMConfig(postselect_mode=postselect_mode, mcm_method=mcm_method)
+
+
 def _validate_gradient_kwargs(gradient_kwargs: dict) -> None:
     for kwarg in gradient_kwargs:
         if kwarg == "expansion_strategy":
@@ -563,17 +567,18 @@ class QNode:
         self.device = device
         self._interface = get_canonical_interface_name(interface)
         self.diff_method = diff_method
-        mcm_config = qml.devices.MCMConfig(mcm_method=mcm_method, postselect_mode=postselect_mode)
         cache = (max_diff > 1) if cache == "auto" else cache
 
         # execution keyword arguments
+        _validate_mcm_config(postselect_mode, mcm_method)
         self.execute_kwargs = {
             "grad_on_execution": grad_on_execution,
             "cache": cache,
             "cachesize": cachesize,
             "max_diff": max_diff,
             "device_vjp": device_vjp,
-            "mcm_config": mcm_config,
+            "postselect_mode": postselect_mode,
+            "mcm_method": mcm_method,
         }
 
         # internal data attributes


Test patch:
diff --git a/tests/capture/test_capture_qnode.py b/tests/capture/test_capture_qnode.py
index 0f2f7ea3a..680d11f08 100644
--- a/tests/capture/test_capture_qnode.py
+++ b/tests/capture/test_capture_qnode.py
@@ -14,7 +14,6 @@
 """
 Tests for capturing a qnode into jaxpr.
 """
-from dataclasses import asdict
 from functools import partial
 
 # pylint: disable=protected-access
@@ -130,7 +129,6 @@ def test_simple_qnode():
     assert eqn0.params["shots"] == qml.measurements.Shots(None)
     expected_kwargs = {"diff_method": "best"}
     expected_kwargs.update(circuit.execute_kwargs)
-    expected_kwargs.update(asdict(expected_kwargs.pop("mcm_config")))
     assert eqn0.params["qnode_kwargs"] == expected_kwargs
 
     qfunc_jaxpr = eqn0.params["qfunc_jaxpr"]
diff --git a/tests/ops/functions/test_matrix.py b/tests/ops/functions/test_matrix.py
index 5adc8912c..a1f82e607 100644
--- a/tests/ops/functions/test_matrix.py
+++ b/tests/ops/functions/test_matrix.py
@@ -683,6 +683,7 @@ class TestInterfaces:
 
         assert np.allclose(matrix, expected_matrix)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     @pytest.mark.catalyst
     @pytest.mark.external
     def test_catalyst(self):
diff --git a/tests/ops/op_math/test_exp.py b/tests/ops/op_math/test_exp.py
index 5abead845..6ca4c6809 100644
--- a/tests/ops/op_math/test_exp.py
+++ b/tests/ops/op_math/test_exp.py
@@ -768,6 +768,7 @@ class TestIntegration:
         grad = jax.grad(circ)(phi)
         assert qml.math.allclose(grad, -jnp.sin(phi))
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     @pytest.mark.catalyst
     @pytest.mark.external
     def test_catalyst_qnode(self):
diff --git a/tests/test_compiler.py b/tests/test_compiler.py
index 38d61cd86..6eb3fa851 100644
--- a/tests/test_compiler.py
+++ b/tests/test_compiler.py
@@ -76,6 +76,7 @@ class TestCatalyst:
         assert qml.compiler.available("catalyst")
         assert qml.compiler.available_compilers() == ["catalyst", "cuda_quantum"]
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_active_compiler(self):
         """Test `qml.compiler.active_compiler` inside a simple circuit"""
         dev = qml.device("lightning.qubit", wires=2)
@@ -91,6 +92,7 @@ class TestCatalyst:
         assert jnp.allclose(circuit(jnp.pi, jnp.pi / 2), 1.0)
         assert jnp.allclose(qml.qjit(circuit)(jnp.pi, jnp.pi / 2), -1.0)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_active(self):
         """Test `qml.compiler.active` inside a simple circuit"""
         dev = qml.device("lightning.qubit", wires=2)
@@ -114,6 +116,7 @@ class TestCatalyst:
         qml.compiler.active()
         assert jax.config.jax_enable_x64 is jax_enable_x64
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_qjit_circuit(self):
         """Test JIT compilation of a circuit with 2-qubit"""
         dev = qml.device("lightning.qubit", wires=2)
@@ -128,6 +131,7 @@ class TestCatalyst:
 
         assert jnp.allclose(circuit(0.5), 0.0)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_qjit_aot(self):
         """Test AOT compilation of a circuit with 2-qubit"""
 
@@ -152,6 +156,7 @@ class TestCatalyst:
         )
         assert jnp.allclose(result, expected)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     @pytest.mark.parametrize(
         "_in,_out",
         [
@@ -196,6 +201,7 @@ class TestCatalyst:
         result = workflow1(params1, params2)
         assert jnp.allclose(result, expected)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_return_value_dict(self):
         """Test pytree return values."""
         dev = qml.device("lightning.qubit", wires=2)
@@ -218,6 +224,7 @@ class TestCatalyst:
         assert jnp.allclose(result["w0"], expected["w0"])
         assert jnp.allclose(result["w1"], expected["w1"])
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_qjit_python_if(self):
         """Test JIT compilation with the autograph support"""
         dev = qml.device("lightning.qubit", wires=2)
@@ -235,6 +242,7 @@ class TestCatalyst:
         assert jnp.allclose(circuit(3), 0.0)
         assert jnp.allclose(circuit(5), 1.0)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_compilation_opt(self):
         """Test user-configurable compilation options"""
         dev = qml.device("lightning.qubit", wires=2)
@@ -250,6 +258,7 @@ class TestCatalyst:
         result_header = "func.func public @circuit(%arg0: tensor<f64>) -> tensor<f64>"
         assert result_header in mlir_str
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_qjit_adjoint(self):
         """Test JIT compilation with adjoint support"""
         dev = qml.device("lightning.qubit", wires=2)
@@ -273,6 +282,7 @@ class TestCatalyst:
 
         assert jnp.allclose(workflow_cl(0.1, [1]), workflow_pl(0.1, [1]))
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_qjit_adjoint_lazy(self):
         """Test that the lazy kwarg is supported."""
         dev = qml.device("lightning.qubit", wires=2)
@@ -287,6 +297,7 @@ class TestCatalyst:
 
         assert jnp.allclose(workflow_cl(0.1, [1]), workflow_pl(0.1, [1]))
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_control(self):
         """Test that control works with qjit."""
         dev = qml.device("lightning.qubit", wires=2)
@@ -317,6 +328,7 @@ class TestCatalyst:
 class TestCatalystControlFlow:
     """Test ``qml.qjit`` with Catalyst's control-flow operations"""
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_alternating_while_loop(self):
         """Test simple while loop."""
         dev = qml.device("lightning.qubit", wires=1)
@@ -334,6 +346,7 @@ class TestCatalystControlFlow:
 
         assert jnp.allclose(circuit(1), -1.0)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_nested_while_loops(self):
         """Test nested while loops."""
         dev = qml.device("lightning.qubit", wires=1)
@@ -393,6 +406,7 @@ class TestCatalystControlFlow:
         expected = [qml.PauliX(0) for i in range(4)]
         _ = [qml.assert_equal(i, j) for i, j in zip(tape.operations, expected)]
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_dynamic_wires_for_loops(self):
         """Test for loops with iteration index-dependant wires."""
         dev = qml.device("lightning.qubit", wires=6)
@@ -414,6 +428,7 @@ class TestCatalystControlFlow:
 
         assert jnp.allclose(circuit(6), expected)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_nested_for_loops(self):
         """Test nested for loops."""
         dev = qml.device("lightning.qubit", wires=4)
@@ -445,6 +460,7 @@ class TestCatalystControlFlow:
 
         assert jnp.allclose(circuit(4), jnp.eye(2**4)[0])
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_for_loop_python_fallback(self):
         """Test that qml.for_loop fallsback to Python
         interpretation if Catalyst is not available"""
@@ -496,6 +512,7 @@ class TestCatalystControlFlow:
 
         _ = [qml.assert_equal(i, j) for i, j in zip(res, expected)]
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_cond(self):
         """Test condition with simple true_fn"""
         dev = qml.device("lightning.qubit", wires=1)
@@ -514,6 +531,7 @@ class TestCatalystControlFlow:
         assert jnp.allclose(circuit(1.4), 1.0)
         assert jnp.allclose(circuit(1.6), 0.0)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_cond_with_else(self):
         """Test condition with simple true_fn and false_fn"""
         dev = qml.device("lightning.qubit", wires=1)
@@ -535,6 +553,7 @@ class TestCatalystControlFlow:
         assert jnp.allclose(circuit(1.4), 0.16996714)
         assert jnp.allclose(circuit(1.6), 0.0)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_cond_with_elif(self):
         """Test condition with a simple elif branch"""
         dev = qml.device("lightning.qubit", wires=1)
@@ -558,6 +577,7 @@ class TestCatalystControlFlow:
         assert jnp.allclose(circuit(1.2), 0.13042371)
         assert jnp.allclose(circuit(jnp.pi), -1.0)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_cond_with_elifs(self):
         """Test condition with multiple elif branches"""
         dev = qml.device("lightning.qubit", wires=1)
@@ -630,6 +650,7 @@ class TestCatalystControlFlow:
 class TestCatalystGrad:
     """Test ``qml.qjit`` with Catalyst's grad operations"""
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_grad_classical_preprocessing(self):
         """Test the grad transformation with classical preprocessing."""
 
@@ -647,6 +668,7 @@ class TestCatalystGrad:
 
         assert jnp.allclose(workflow(2.0), -jnp.pi)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_grad_with_postprocessing(self):
         """Test the grad transformation with classical preprocessing and postprocessing."""
         dev = qml.device("lightning.qubit", wires=1)
@@ -665,6 +687,7 @@ class TestCatalystGrad:
 
         assert jnp.allclose(workflow(1.0), 5.04324559)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_grad_with_multiple_qnodes(self):
         """Test the grad transformation with multiple QNodes with their own differentiation methods."""
         dev = qml.device("lightning.qubit", wires=1)
@@ -703,6 +726,7 @@ class TestCatalystGrad:
 
         assert jnp.allclose(dsquare(2.3), 4.6)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_jacobian_diff_method(self):
         """Test the Jacobian transformation with the device diff_method."""
         dev = qml.device("lightning.qubit", wires=1)
@@ -721,6 +745,7 @@ class TestCatalystGrad:
 
         assert jnp.allclose(result, reference)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_jacobian_auto(self):
         """Test the Jacobian transformation with 'auto'."""
         dev = qml.device("lightning.qubit", wires=1)
@@ -740,6 +765,7 @@ class TestCatalystGrad:
 
         assert jnp.allclose(result, reference)
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     def test_jacobian_fd(self):
         """Test the Jacobian transformation with 'fd'."""
         dev = qml.device("lightning.qubit", wires=1)
@@ -838,6 +864,7 @@ class TestCatalystGrad:
             vjp(x, dy)
 
 
+@pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
 class TestCatalystSample:
     """Test qml.sample with Catalyst."""
 
@@ -858,6 +885,7 @@ class TestCatalystSample:
         assert circuit(jnp.pi) == 1
 
 
+@pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
 class TestCatalystMCMs:
     """Test dynamic_one_shot with Catalyst."""
 
diff --git a/tests/test_qnode.py b/tests/test_qnode.py
index ec141af64..5d270d1f9 100644
--- a/tests/test_qnode.py
+++ b/tests/test_qnode.py
@@ -1926,14 +1926,17 @@ class TestMCMConfiguration:
             return mp(qml.PauliZ(0))
 
         _ = circuit(1.8, qml.expval, shots=10)
-        assert circuit.execute_kwargs["mcm_config"] == original_config
+        assert circuit.execute_kwargs["postselect_mode"] == original_config.postselect_mode
+        assert circuit.execute_kwargs["mcm_method"] == original_config.mcm_method
 
         if mcm_method != "one-shot":
             _ = circuit(1.8, qml.expval)
-            assert circuit.execute_kwargs["mcm_config"] == original_config
+            assert circuit.execute_kwargs["postselect_mode"] == original_config.postselect_mode
+            assert circuit.execute_kwargs["mcm_method"] == original_config.mcm_method
 
         _ = circuit(1.8, qml.expval, shots=10)
-        assert circuit.execute_kwargs["mcm_config"] == original_config
+        assert circuit.execute_kwargs["postselect_mode"] == original_config.postselect_mode
+        assert circuit.execute_kwargs["mcm_method"] == original_config.mcm_method
 
 
 class TestTapeExpansion:
diff --git a/tests/transforms/core/test_transform_dispatcher.py b/tests/transforms/core/test_transform_dispatcher.py
index 4a24627c7..6784c3b0a 100644
--- a/tests/transforms/core/test_transform_dispatcher.py
+++ b/tests/transforms/core/test_transform_dispatcher.py
@@ -216,6 +216,7 @@ class TestTransformContainer:
 class TestTransformDispatcher:  # pylint: disable=too-many-public-methods
     """Test the transform function (validate and dispatch)."""
 
+    @pytest.mark.xfail(reason="https://github.com/PennyLaneAI/catalyst/pull/1452")
     @pytest.mark.catalyst
     @pytest.mark.external
     def test_error_on_qjit(self):
diff --git a/tests/workflow/interfaces/execute/test_execute.py b/tests/workflow/interfaces/execute/test_execute.py
index 8bea335ff..4a2537272 100644
--- a/tests/workflow/interfaces/execute/test_execute.py
+++ b/tests/workflow/interfaces/execute/test_execute.py
@@ -57,6 +57,28 @@ def test_execute_legacy_device():
     assert qml.math.allclose(res[0], np.cos(0.1))
 
 
+def test_mcm_config_deprecation(mocker):
+    """Test that mcm_config argument has been deprecated."""
+
+    tape = qml.tape.QuantumScript(
+        [qml.RX(qml.numpy.array(1.0), 0)], [qml.expval(qml.Z(0))], shots=10
+    )
+    dev = qml.device("default.qubit")
+
+    with dev.tracker:
+        with pytest.warns(
+            qml.PennyLaneDeprecationWarning,
+            match="The mcm_config argument is deprecated and will be removed in v0.42, use mcm_method and postselect_mode instead.",
+        ):
+            spy = mocker.spy(qml.dynamic_one_shot, "_transform")
+            qml.execute(
+                (tape,),
+                dev,
+                mcm_config=qml.devices.MCMConfig(mcm_method="one-shot", postselect_mode=None),
+            )
+            spy.assert_called_once()
+
+
 def test_config_deprecation():
     """Test that the config argument has been deprecated."""