Edoardo Altamura

@Kowalikov it would be interesting to implement this! Could you please suggest a sketch of the class you have in mind? This would help with scoping this request and speed...

Hi @poig @chin-jey, have there been recent developments on this discussion? Feel free to post a simple example here, as it might be useful for others. Once we've seen an...

Thanks for pointing this out @miles0428. Perhaps `TorchConnector` was designed to be coupled to image-type datasets, which would explain the current summation form. This should indeed be matched to the...

@miles0428 could you please provide the exact code you used to instantiate the `HybridQNN` class? A simple call `HybridQNN()` returns an error, but not the one you described. Could you...

Thanks @miles0428, the last example was very useful. I've allowed the `einsum` signature to be computed dynamically, which fixes the issue. The fix is currently in a Dev branch (see...

Hi @AbdullahKazi500 has there been any recent progress? If so, please organize and submit the commits in a PR.

@adekusar-drl, could you please share an example or template of how you'd match the SKlearn type hinting for QML?

For instance https://github.com/qiskit-community/qiskit-machine-learning/blob/c59063af02afbb56cfdb27408068aa1c0f5bc718/qiskit_machine_learning/algorithms/classifiers/pegasos_qsvc.py#L128-L130 would become ```python import numpy.typing as npt def fit( self, X: npt.ArrayLike, y: npt.ArrayLike, sample_weight: npt.ArrayLike | None = None ) -> "PegasosQSVC": ``` or, more strictly,...

Have there been recent updates about this PR or circuit equivalence in general?

I can't think of projects that started in Pandas and then transitioned, and I do agree that care is needed when migrating foundational dependencies. This [Medium article](https://kyleake.medium.com/pandas-to-polars-a-comprehensive-transition-guide-81b6f50e9154) can give a...