[question] How to use qiskit-machine-learning with real ibm backends? #890
Labels
Hardware runtime 💻
Running jobs on IBM quantum devices
type: question 🙋
Question about the code or its uses
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 😄).
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