Support for different Catalyst backends

[renezander90]

Contex Qrisp's qjit decorators allows running Qrisp code via the Catalyst compilation infrastructure. Thereby, the backend is qml.device("lightning.qubit", wires=0). This PR aims to facilitate using different backends, including "lightning.gpu", "lightning.amdgpu".

Description of change

Added keyword argument devicefor qrisp's qjit decorator:

from qrisp import *
from qrisp.jasp import qjit

import pennylane as qml
dev = qml.device("lightning.qubit", wires=0)

@qjit(device=dev)
def test_fun(i):
    qv = QuantumFloat(i, -2)
    with invert():
        cx(qv[0], qv[qv.size-1])
        h(qv[0])
    meas_res = measure(qv)
    return meas_res + 3

test_fun(4)

[positr0nium]

Thanks :) Please don't forget to update the docstring 😇

[renezander90]

Executing a qrisp program with qjit on "lightning.gpu" was successfully tested using NVIDIA RTX A5000.