diff --git a/.pylintrc b/.pylintrc
index 982d3901d6c..ecd788f66f5 100644
--- a/.pylintrc
+++ b/.pylintrc
@@ -2,7 +2,7 @@
 # A comma-separated list of package or module names from where C extensions may
 # be loaded. Extensions are loading into the active Python interpreter and may
 # run arbitrary code
-extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag
+extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag
 
 [TYPECHECK]
 
@@ -10,12 +10,12 @@ extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd
 # (useful for modules/projects where namespaces are manipulated during runtime
 # and thus existing member attributes cannot be deduced by static analysis. It
 # supports qualified module names, as well as Unix pattern matching.
-ignored-modules=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy
+ignored-modules=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy
 
 # List of classes names for which member attributes should not be checked
 # (useful for classes with attributes dynamically set). This supports can work
 # with qualified names.
-ignored-classes=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy,pennylane.numpy.random,pennylane.numpy.linalg,pennylane.numpy.builtins,pennylane.operation,rustworkx,kahypar
+ignored-classes=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy,pennylane.numpy.random,pennylane.numpy.linalg,pennylane.numpy.builtins,pennylane.operation,rustworkx,kahypar
 
 [MESSAGES CONTROL]
 
diff --git a/doc/development/guide/installation.rst b/doc/development/guide/installation.rst
index 3cd3d4540a5..24fd5c44d3e 100644
--- a/doc/development/guide/installation.rst
+++ b/doc/development/guide/installation.rst
@@ -19,6 +19,7 @@ be installed alongside PennyLane:
 * `appdirs <https://github.com/ActiveState/appdirs>`_
 * `semantic-version <https://github.com/rbarrois/python-semanticversion>`_ >= 2.7
 * `autoray <https://github.com/jcmgray/autoray>`__ >= 0.6.11
+* `packaging <https://github.com/pypa/packaging>`_
 
 The following Python packages are optional:
 
diff --git a/doc/releases/changelog-dev.md b/doc/releases/changelog-dev.md
index 6409d734cc0..649d1d34801 100644
--- a/doc/releases/changelog-dev.md
+++ b/doc/releases/changelog-dev.md
@@ -9,6 +9,9 @@
 
 <h3>Improvements 🛠</h3>
 
+* Added `packaging` in the required list of packages.
+  [(#5769)](https://github.com/PennyLaneAI/pennylane/pull/5769).
+
 * Logging now allows for an easier opt-in across the stack, and also extends control support to `catalyst`.
   [(#5528)](https://github.com/PennyLaneAI/pennylane/pull/5528).
 
diff --git a/doc/requirements.txt b/doc/requirements.txt
index 8c7e0927da3..b86201fb9df 100644
--- a/doc/requirements.txt
+++ b/doc/requirements.txt
@@ -10,6 +10,7 @@ m2r2
 numpy
 pygments-github-lexers
 semantic_version==2.10
+packaging
 scipy
 docutils==0.16
 sphinx~=3.5.0; python_version < "3.10"
diff --git a/pennylane/__init__.py b/pennylane/__init__.py
index 7524882e84a..80419832ae0 100644
--- a/pennylane/__init__.py
+++ b/pennylane/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2018-2021 Xanadu Quantum Technologies Inc.
+# Copyright 2018-2024 Xanadu Quantum Technologies Inc.
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -20,6 +20,7 @@
 
 
 import numpy as _np
+
 from semantic_version import SimpleSpec, Version
 
 from pennylane.boolean_fn import BooleanFn
diff --git a/pennylane/compiler/compiler.py b/pennylane/compiler/compiler.py
index 816705bf35c..95a08bf1be8 100644
--- a/pennylane/compiler/compiler.py
+++ b/pennylane/compiler/compiler.py
@@ -20,7 +20,7 @@
 from sys import version_info
 from typing import List, Optional
 
-from semantic_version import Version
+from packaging.version import Version
 
 PL_CATALYST_MIN_VERSION = Version("0.6.0")
 
diff --git a/pennylane/devices/default_qubit_tf.py b/pennylane/devices/default_qubit_tf.py
index efc2224af6f..48d7c60b788 100644
--- a/pennylane/devices/default_qubit_tf.py
+++ b/pennylane/devices/default_qubit_tf.py
@@ -1,4 +1,4 @@
-# Copyright 2018-2021 Xanadu Quantum Technologies Inc.
+# Copyright 2018-2024 Xanadu Quantum Technologies Inc.
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,7 +17,7 @@
 import itertools
 
 import numpy as np
-import semantic_version
+from packaging.version import Version
 
 import pennylane as qml
 
@@ -29,7 +29,7 @@
 
     from tensorflow.python.framework.errors_impl import InvalidArgumentError
 
-    SUPPORTS_APPLY_OPS = semantic_version.match(">=2.3.0", tf.__version__)
+    SUPPORTS_APPLY_OPS = Version(tf.__version__) >= Version("2.3.0")
 
 except ImportError as e:  # pragma: no cover
     raise ImportError("default.qubit.tf device requires TensorFlow>=2.0") from e
diff --git a/pennylane/devices/default_qubit_torch.py b/pennylane/devices/default_qubit_torch.py
index 29e8455f66f..e0bb276e513 100644
--- a/pennylane/devices/default_qubit_torch.py
+++ b/pennylane/devices/default_qubit_torch.py
@@ -1,4 +1,4 @@
-# Copyright 2018-2021 Xanadu Quantum Technologies Inc.
+# Copyright 2018-2024 Xanadu Quantum Technologies Inc.
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -18,12 +18,14 @@
 import logging
 import warnings
 
-import semantic_version
+from packaging.version import Version
 
 try:
     import torch
 
-    VERSION_SUPPORT = semantic_version.match(">=1.8.1", torch.__version__)
+    VERSION_SUPPORT = Version(torch.__version__) >= Version(
+        "1.8.1",
+    )
     if not VERSION_SUPPORT:  # pragma: no cover
         raise ImportError("default.qubit.torch device requires Torch>=1.8.1")
 
diff --git a/pennylane/qnn/keras.py b/pennylane/qnn/keras.py
index 675db560f0b..8a6ec4084a1 100644
--- a/pennylane/qnn/keras.py
+++ b/pennylane/qnn/keras.py
@@ -1,4 +1,4 @@
-# Copyright 2018-2021 Xanadu Quantum Technologies Inc.
+# Copyright 2018-2024 Xanadu Quantum Technologies Inc.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,7 +17,7 @@
 from collections.abc import Iterable
 from typing import Optional, Text
 
-from semantic_version import Version
+from packaging.version import Version
 
 try:
     import tensorflow as tf
diff --git a/requirements-ci.txt b/requirements-ci.txt
index 932820a266d..102f6521586 100644
--- a/requirements-ci.txt
+++ b/requirements-ci.txt
@@ -8,6 +8,7 @@ autograd
 toml
 appdirs
 semantic_version
+packaging
 autoray>=0.6.1,<0.6.10
 matplotlib
 requests
diff --git a/requirements.txt b/requirements.txt
index 869e241616a..35ffc8d4378 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,6 +9,7 @@ autograd~=1.4
 toml~=0.10
 appdirs~=1.4
 semantic_version~=2.10
+packaging
 autoray>=0.6.11
 matplotlib~=3.5
 opt_einsum~=3.3
diff --git a/setup.py b/setup.py
index 892e962ec14..6466a02abce 100644
--- a/setup.py
+++ b/setup.py
@@ -1,4 +1,4 @@
-# Copyright 2018-2020 Xanadu Quantum Technologies Inc.
+# Copyright 2018-2024 Xanadu Quantum Technologies Inc.
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -34,6 +34,7 @@
     "pennylane-lightning>=0.36",
     "requests",
     "typing_extensions",
+    "packaging",
 ]
 
 info = {
diff --git a/tests/.pylintrc b/tests/.pylintrc
index e19ecaaf4dd..a60dace1845 100644
--- a/tests/.pylintrc
+++ b/tests/.pylintrc
@@ -2,7 +2,7 @@
 # A comma-separated list of package or module names from where C extensions may
 # be loaded. Extensions are loading into the active Python interpreter and may
 # run arbitrary code
-extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag
+extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag
 
 [TYPECHECK]
 
@@ -10,12 +10,12 @@ extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd
 # (useful for modules/projects where namespaces are manipulated during runtime
 # and thus existing member attributes cannot be deduced by static analysis. It
 # supports qualified module names, as well as Unix pattern matching.
-ignored-modules=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy
+ignored-modules=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy
 
 # List of classes names for which member attributes should not be checked
 # (useful for classes with attributes dynamically set). This supports can work
 # with qualified names.
-ignored-classes=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy,pennylane.numpy.random,pennylane.numpy.linalg,pennylane.numpy.builtins,pennylane.operation,rustworkx,kahypar
+ignored-classes=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy,pennylane.numpy.random,pennylane.numpy.linalg,pennylane.numpy.builtins,pennylane.operation,rustworkx,kahypar
 
 [MESSAGES CONTROL]