[BUG] qml.pow and qml.prod simplify into each other creating excessive arithmetic depth

Expected behavior

class DummyOp(qml.operation.Operator):
    pass

(DummyOp(0) ** 2 ).simplify()

simplifies the operator into a product.

Actual behavior

class DummyOp(qml.operation.Operator):
    pass

(DummyOp(0) ** 2 ).simplify()

throws a recursion error.

Additional information

No response

Source code

Tracebacks

RecursionError: maximum recursion depth exceeded in comparison

The above exception was the direct cause of the following exception:

RuntimeError                              Traceback (most recent call last)
/usr/local/lib/python3.11/dist-packages/pennylane/ops/op_math/composite.py in wrapper(*args, **kwargs)
     37             return func(*args, **kwargs)
     38         except RecursionError as e:
---> 39             raise RuntimeError(
     40                 "Maximum recursion depth reached! This is likely due to nesting too many levels "
     41                 "of composite operators. Try setting lazy=False when calling qml.sum, qml.prod, "

RuntimeError: Maximum recursion depth reached! This is likely due to nesting too many levels of composite operators. Try setting lazy=False when calling qml.sum, qml.prod, and qml.s_prod, or use the +, @, and * operators instead. Alternatively, you can periodically call qml.simplify on your operators.

System information

Name: pennylane
Version: 0.42.1
Summary: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Home-page: 
Author: 
Author-email: 
License: 
Location: /usr/local/lib/python3.11/dist-packages
Requires: appdirs, autograd, autoray, cachetools, diastatic-malt, networkx, numpy, packaging, pennylane-lightning, requests, rustworkx, scipy, tomlkit, typing_extensions
Required-by: pennylane_lightning

Platform info:           Linux-6.1.123+-x86_64-with-glibc2.35
Python version:          3.11.13
Numpy version:           2.0.2
Scipy version:           1.16.1
Installed devices:
- default.clifford (pennylane-0.42.1)
- default.gaussian (pennylane-0.42.1)
- default.mixed (pennylane-0.42.1)
- default.qubit (pennylane-0.42.1)
- default.qutrit (pennylane-0.42.1)
- default.qutrit.mixed (pennylane-0.42.1)
- default.tensor (pennylane-0.42.1)
- null.qubit (pennylane-0.42.1)
- reference.qubit (pennylane-0.42.1)
- lightning.qubit (pennylane_lightning-0.42.0)

Existing GitHub issues

• I have searched existing GitHub issues to make sure the issue does not already exist.