Elena Peña Tapia

Thanks for the suggestions. I have moved the circuit and pm construction to the setup and fixed the random seeds, and applied a few offline suggestions from @alexanderivrii. So far...

Thanks @sbrandhsn. I see your that your points come from a "transpiler pipeline usability" perspective, which I also believe is important. I guess that my question here is how could...

> I feel like this would be simpler if we moved this logic down into generate_preset_pass_manager() itself. We already expose skip_target there so internally we can change that function to...

> Yeah, I was thinking of the former case as a step towards doing the latter. But it makes sense that we would need to move everything over in one...

I agree with @jakelishman, moving this functionality out of qiskit would also be coherent with the changes laid out in #10266 (the fake backend epic).

Hi, thanks for your interest and apologies for the slow response! the code referred to in this issue belongs to qiskit-optimization: https://github.com/qiskit-community/qiskit-optimization. We are now focusing on archiving this repository...

Sorry for the overload of changed files. `from qiskit.algorithms import AlgorithmJob, AlgorithmError` in the gradients were creating cyclic import issues all over the time evolvers module. Making the imports relative...

Thank you @woodsp-ibm for your review. I have tried to implement all the changes you suggested, including using `Sequence` and `Mapping` when possible, listing public attributes as such in the...

Interested

Thanks for handling this move. I will make sure to include this tool in the `fake_provider` deprecations in Qiskit once this PR is merged.