PennyLaneAI · josh146 · Oct 18, 2021 · Oct 13, 2021 · Oct 13, 2021 · Oct 14, 2021
diff --git a/doc/releases/changelog-dev.md b/doc/releases/changelog-dev.md
@@ -366,6 +366,13 @@
 
 <h3>Improvements</h3>
 
+* All qubit operations have been re-written to use the `qml.math` framework
+  for internal classical processing and the generation of their matrix representations.
+  As a result these representations are now fully differentiable, and the
+  framework-specific device classes no longer need to maintain framework-specific
+  versions of these matrices.
+  [(#1749)](https://github.com/PennyLaneAI/pennylane/pull/1749)
+
 * A new utility class `qml.BooleanFn` is introduced. It wraps a function that takes a single
   argument and returns a Boolean.
   [(#1734)](https://github.com/PennyLaneAI/pennylane/pull/1734)

diff --git a/pennylane/beta/devices/default_tensor_tf.py b/pennylane/beta/devices/default_tensor_tf.py
@@ -28,7 +28,7 @@
     raise ImportError("default.tensor.tf device requires TensorFlow>=2.0") from e
 
 from pennylane.beta.devices.default_tensor import DefaultTensor
-from pennylane.devices import tf_ops as ops
+from pennylane.beta.devices import tf_ops as ops
 
 # tolerance for numerical errors
 tolerance = 1e-10

diff --git a/pennylane/devices/tf_ops.py → pennylane/beta/devices/tf_ops.py b/pennylane/devices/tf_ops.py → pennylane/beta/devices/tf_ops.py
diff --git a/pennylane/devices/__init__.py b/pennylane/devices/__init__.py
@@ -29,9 +29,6 @@
     default_qubit_autograd
     default_gaussian
     default_mixed
-    tf_ops
-    torch_ops
-    autograd_ops
     tests
 """
 # DefaultQubitTF and DefaultQubitAutograd not imported here since this