[question] How to use qiskit-machine-learning with real ibm backends?

[KonradKorus]

Hello,

I am using EstimatorQNN and NeuralNetworkClassifier for image recognition on quantum computers, following the tutorial here. I am trying to find a way to run this setup on a real IBM backend (not locally on a simulator). However, after spending several hours, I haven't found a clear solution.

My question is: Is there a way to use this approach on a real backend? If so, how can I pass training data to the backend, given that it runs in the cloud and not on my local machine?

From what I understand, I could transpile the circuit, but then I face issues with passing training data into the circuit (so I’m not even sure if it will run on the backend). Additionally, I have read that it might be possible to send multiple jobs to the backend, but this approach doesn’t seem to support backpropagation.

I hope you can help clarify this (or at least confirm if it’s not feasible so I can stop pursuing this approach 😄).