Hi, I want to understand how the multi-GPU support works in PennyLane v0.31. I read the blog about the new Pennylane v0.31 and the multi-GPU support. **Can anyone tell me what new libraries I must download and import for this support?**

So I am currently using the NVIDIA DGX A100 GPU and CudaToolkit 11.7.0

The circuit I want to use is:

```
wires=4
dev4 = qml.device('lightning.gpu', wires=wires )
@qml.qnode(dev4)
def CONVCircuit(phi, wires, i=0):
"""
quantum convolution Node
"""
# parameter
theta = np.pi / 2
qml.Rot(phi[0]*2*np.pi/255,phi[1]*2*np.pi/255,phi[2]*2*np.pi/255, wires=0)
qml.Rot(phi[3]*2*np.pi/255,phi[4]*2*np.pi/255,phi[5]*2*np.pi/255, wires=1)
qml.Rot(phi[6]*2*np.pi/255,phi[7]*2*np.pi/255,phi[8]*2*np.pi/255, wires=2)
qml.Rot(phi[9]*2*np.pi/255,phi[10]*2*np.pi/255,phi[11]*2*np.pi/255, wires=3)
qml.RX(np.pi, wires=0)
qml.RX(np.pi, wires=1)
qml.RX(np.pi, wires=2)
qml.RX(np.pi, wires=3)
qml.CRZ(theta, wires=[1, 0])
qml.CRZ(theta, wires=[3, 2])
qml.CRX(theta, wires=[1, 0])
qml.CRX(theta, wires=[3, 2])
qml.CRZ(theta, wires=[2, 0])
qml.CRX(theta, wires=[2, 0])
# Expectation value
measurement = qml.expval(qml.PauliZ(wires=0))
return measurement
```

**Please tell me what extra lines I must write in the above code for its multi-GPU support.** I use Jupyter Notebook; the codes are in .ipynb file format.

The output of `qml.about()`

:

```
Name: PennyLane
Version: 0.31.0
Summary: PennyLane is a Python quantum machine learning library by Xanadu Inc.
Home-page: https://github.com/PennyLaneAI/pennylane
Author:
Author-email:
License: Apache License 2.0
Location: /dgxb_home/se21pphy004/miniconda3/envs/myenv/lib/python3.8/site-packages
Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, pennylane-lightning, requests, rustworkx, scipy, semantic-version, toml
Required-by: PennyLane-Lightning, PennyLane-Lightning-GPU
Platform info: Linux-5.4.0-144-generic-x86_64-with-glibc2.17
Python version: 3.8.17
Numpy version: 1.24.3
Scipy version: 1.10.0
Installed devices:
- default.gaussian (PennyLane-0.31.0)
- default.mixed (PennyLane-0.31.0)
- default.qubit (PennyLane-0.31.0)
- default.qubit.autograd (PennyLane-0.31.0)
- default.qubit.jax (PennyLane-0.31.0)
- default.qubit.tf (PennyLane-0.31.0)
- default.qubit.torch (PennyLane-0.31.0)
- default.qutrit (PennyLane-0.31.0)
- null.qubit (PennyLane-0.31.0)
- lightning.qubit (PennyLane-Lightning-0.31.0)
- lightning.gpu (PennyLane-Lightning-GPU-0.31.0)
```