Surveying the QML module in Qiskit for a quantum neural network project and wondering if there is support to add noise models and run noisy simulations?
Going through this tutorial and wondering how one would define a noise model in the argument of qnn.forward when doing a batched forward pass.
You can create a noisy simulator like in the snippet below and then use it when you create a QuantumInstance:
from qiskit.providers.aer import AerSimulator
from qiskit.providers.aer.noise import NoiseModel
from qiskit.test.mock import FakeVigo
from qiskit.utils import QuantumInstance
# We create a simulator with a noise model from this backend
fake_backend = FakeVigo()
noise_model = NoiseModel.from_backend(fake_backend)
backend = AerSimulator(noise_model=noise_model)
quantum_instance = QuantumInstance(backend=backend)
# Then pass quantum_instance to a VQC instance or another algorithm.
You can take a look at the documentation of the noise package here: https://qiskit.org/documentation/apidoc/aer_noise.html or at the tutorial here: https://qiskit.org/documentation/tutorials/simulators/3_building_noise_models.html.
