Add measure functions for MCMs in X, Y and arbitrary measurement basis

doc/code/qml_ftqc.rst

@@ -0,0 +1,12 @@
+qml.ftqc
+===========
+
+.. currentmodule:: pennylane.ftqc
+
+.. warning::
+
+    This module is currently experimental and will not maintain API stability between releases.
+
+.. automodapi:: pennylane.ftqc
+    :no-heading:
+    :include-all-objects:

doc/index.rst

@@ -228,6 +228,7 @@ PennyLane is **free** and **open source**, released under the Apache License, Ve
 
    code/qml_capture
    code/qml_devices
+   code/qml_ftqc
    code/qml_measurements
    code/qml_pytrees
    code/qml_operation

doc/releases/changelog-dev.md

@@ -149,12 +149,19 @@
   [(#6842)](https://github.com/PennyLaneAI/pennylane/pull/6842)
 
 * A `ParametrizedMidMeasure` class is added to represent a mid-circuit measurement in an arbitrary
-  measurement basis in the XY, YZ or ZX plane. 
+  measurement basis in the XY, YZ or ZX plane. Subclasses `XMidMeasureMP` and `YMidMeasureMP` represent
+  X-basis and Y-basis measurements.
   [(#6938)](https://github.com/PennyLaneAI/pennylane/pull/6938)
+  [(#6953)](https://github.com/PennyLaneAI/pennylane/pull/6953)
 
 * A `diagonalize_mcms` transform is added that diagonalizes any `ParametrizedMidMeasure`, for devices 
   that only natively support mid-circuit measurements in the computational basis.
   [(#6938)](https://github.com/PennyLaneAI/pennylane/pull/6938)
+
+* Measurement functions `measure_x`, `measure_y` and `measure_arbitrary_basis` are added. These functions 
+  apply a mid-circuit measurement and return a `MeasurementValue`. They are analogous to `qml.measure` for 
+  the computational basis, but instead measure in the X-basis, Y-basis, or an arbitrary basis, respectively.
+  [(#6953)](https://github.com/PennyLaneAI/pennylane/pull/6953)
 
 * `null.qubit` can now execute jaxpr.
   [(#6924)](https://github.com/PennyLaneAI/pennylane/pull/6924)

pennylane/ftqc/__init__.py

@@ -25,10 +25,24 @@
     :toctree: api
 
 """
-from pennylane import ExperimentalWarning
-from .parametric_midmeasure import ParametricMidMeasureMP, diagonalize_mcms
+from pennylane import measure as measure_z
+from .parametric_midmeasure import (
+    ParametricMidMeasureMP,
+    XMidMeasureMP,
+    YMidMeasureMP,
+    measure_arbitrary_basis,
+    measure_x,
+    measure_y,
+    diagonalize_mcms,
+)
 
 __all__ = [
     "ParametricMidMeasureMP",
+    "XMidMeasureMP",
+    "YMidMeasureMP",
+    "measure_arbitrary_basis",
+    "measure_x",
+    "measure_y",
+    "measure_z",
     "diagonalize_mcms",
 ]