Quantum Dropout implementation about pennylane

[isaacdevlugt]

Hey @fran-scala, thanks for the suggestion! We'll get back to you next week when we have a chance to digest the suggestions completely, but would this be something that you would like to contribute to PennyLane by opening a PR? Let us know!

[fran-scala]

Hey @fran-scala, thanks for the suggestion! We'll get back to you next week when we have a chance to digest the suggestions completely, but would this be something that you would like to contribute to PennyLane by opening a PR? Let us know!

Yes, I would be delighted to contribute! However, I think I will still need some support to design the implementation correctly.

[josh146]

Hi @fran-scala! Before designing an implementation, another option could be to write a demonstration on your paper for https://pennylane.ai/qml/demonstrations/. That is, a Jupyter notebook that showcases the quantum dropout implementation, using code to demonstrate while explaining the concepts.

The nice thing about this is it allows us to understand the implementation better (helping with future design questions), while giving a spot for us to market your research/share it with the community :)

[fran-scala]

Hi @fran-scala! Before designing an implementation, another option could be to write a demonstration on your paper for https://pennylane.ai/qml/demonstrations/. That is, a Jupyter notebook that showcases the quantum dropout implementation, using code to demonstrate while explaining the concepts.

The nice thing about this is it allows us to understand the implementation better (helping with future design questions), while giving a spot for us to market your research/share it with the community :)

Hi @josh146 ! Thanks for your proposal. The idea of making a demonstration notebook to showcase our technique sounds great and actually it should be pretty easy to do from our code. Do I have to notify you here when I submit the demo?

[josh146]

Do I have to notify you here when I submit the demo?

@fran-scala nope!

To submit the demo, a pull request simply needs to be made against the https://github.com/pennylaneai/qml repository. Check out the README for more details on how to add a demo 🙂

A couple of notes:

• Our website doesn't use notebooks as the demo format; instead, demos are Python scripts with RestructuredText comments. However, if you would like to start off with a notebook, you can convert your notebook to a Python script using this converter script

• Feel free to open a WIP (work-in-progress) PR against that repo, even if your demo is still a draft! This way we can help with any technical issues/answer any questions you might have. In addition, within each PR we have a GitHub action that will build a preview of your demo, making it convenient to check if everything is rendering correctly.

Let me know if you have any questions!

[fran-scala]

Do I have to notify you here when I submit the demo?

@fran-scala nope!

To submit the demo, a pull request simply needs to be made against the https://github.com/pennylaneai/qml repository. Check out the README for more details on how to add a demo 🙂

A couple of notes:

• Our website doesn't use notebooks as the demo format; instead, demos are Python scripts with RestructuredText comments. However, if you would like to start off with a notebook, you can convert your notebook to a Python script using this converter script
• Feel free to open a WIP (work-in-progress) PR against that repo, even if your demo is still a draft! This way we can help with any technical issues/answer any questions you might have. In addition, within each PR we have a GitHub action that will build a preview of your demo, making it convenient to check if everything is rendering correctly.

Let me know if you have any questions!

Hi! I made a pull request in the qml module as you suggested. Let me know if it can work.

[isaacdevlugt]

Hey @fran-scala! It looks awesome! We might be a bit delayed getting to it because of the holidays, but I assure you that we will take a look at it as soon as we can. Let's move the conversation over to your PR that you made 😄