seed in qml.device("lightning.qubit", ...) seemingly does nothing

[isaacdevlugt]

Issue description

The seed kwarg in device doesn't do anything for lightning.qubit. The results below are not fixed by seed.

• Expected behavior: Since all sampling behaviour in lightning qubit happens in the C++ layer and PennyLane doesn't use the seed argument to configure that at all, lightning qubit shouldn't accept a seed keyword argument (it should be removed).

• Actual behavior: It accepts seed and does nothing with it.

• Reproduces how often: 1000%

• System information:

Name: PennyLane
Version: 0.39.0
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: https://github.com/PennyLaneAI/pennylane
Author: 
Author-email: 
License: Apache License 2.0
Location: [/Users/isaac/.virtualenvs/pennylane-catalyst/lib/python3.11/site-packages](https://file+.vscode-resource.vscode-cdn.net/Users/isaac/.virtualenvs/pennylane-catalyst/lib/python3.11/site-packages)
Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, packaging, pennylane-lightning, requests, rustworkx, scipy, toml, typing-extensions
Required-by: PennyLane-Catalyst, PennyLane_Lightning

Platform info:           macOS-15.1-arm64-arm-64bit
Python version:          3.11.9
Numpy version:           1.26.4
Scipy version:           1.12.0
Installed devices:
- default.clifford (PennyLane-0.39.0)
- default.gaussian (PennyLane-0.39.0)
- default.mixed (PennyLane-0.39.0)
- default.qubit (PennyLane-0.39.0)
- default.qutrit (PennyLane-0.39.0)
- default.qutrit.mixed (PennyLane-0.39.0)
- default.tensor (PennyLane-0.39.0)
- null.qubit (PennyLane-0.39.0)
- reference.qubit (PennyLane-0.39.0)
- nvidia.custatevec (PennyLane-Catalyst-0.9.0)
- nvidia.cutensornet (PennyLane-Catalyst-0.9.0)
- oqc.cloud (PennyLane-Catalyst-0.9.0)
- softwareq.qpp (PennyLane-Catalyst-0.9.0)
- lightning.qubit (PennyLane_Lightning-0.39.0)

Source code and tracebacks

import pennylane as qml

dev = qml.device("lightning.qubit", wires=4, shots=100, seed=52)

@qml.qnode(dev)
def node():
    qml.Hadamard(0)
    return qml.expval(qml.Z(0))

for i in range(10):
    print(node(4))

-0.16
0.14
0.02
0.06

Additional information

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