# Contribution towards Pennylane

**URL:** <https://discuss.pennylane.ai/t/contribution-towards-pennylane/2276>\
**Category:** PennyLane Help\
**Created:** [November 7, 2022, 7:27pm UTC](https://discuss.pennylane.ai/t/contribution-towards-pennylane/2276 "2022-11-07T19:27:04Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![Thomas\_Toseland](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/thomas_toseland/32/1256_2.png) [@Thomas\_Toseland](https://discuss.pennylane.ai/u/Thomas_Toseland)\
**Post date:** [November 7, 2022, 7:27pm UTC](https://discuss.pennylane.ai/t/contribution-towards-pennylane/2276/1 "2022-11-07T19:27:04Z")

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Hi,

I am not sure how to contribute this towards Pennylane, can anyone please tell me how to do that?

As I have a new version of an existing notebook ready on geometric machine learning, on github and so I would like to offer up that minor contribution to Pennylane, as the definition of a group isn’t properly defined in the original here: [Introduction to Geometric Quantum Machine Learning — PennyLane](https://pennylane.ai/qml/demos/tutorial_geometric_qml.html)

I have been working to modify that to mention the closure axiom, which is shown on Wolfram’s definition of a mathematical group:

> **[Group -- from Wolfram MathWorld](https://mathworld.wolfram.com/Group.html)**
>
> A group G is a finite or infinite set of elements together with a binary operation (called the group operation) that together satisfy the four fundamental properties of closure, associativity, the identity property, and the inverse property. The...

I know I am a first time contributor to Pennylane, but I was hoping to start with that.

Thanks,

Thomas N Toseland.

P.S. Hopefully I can do more than that in the future, but I don’t like notebooks that use mathematical definitions, without specifying all the necessary axioms.

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**Author:** ![CatalinaAlbornoz](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/catalinaalbornoz/32/1196_2.png) [@CatalinaAlbornoz](https://discuss.pennylane.ai/u/CatalinaAlbornoz)\
**Post date:** [November 8, 2022, 12:47am UTC](https://discuss.pennylane.ai/t/contribution-towards-pennylane/2276/2 "2022-11-08T00:47:23Z")

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Hi @Thomas_Toseland, welcome to the Forum!

It’s great to see you here!

In the guide [here](https://pennylane.ai/qml/demos_submission.html) you will find everything you need in order to contribute your notebook as a community demo.

Please let me know if you have any questions about the process. And it’s great that you want to contribute your knowledge for others to learn!

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**Author:** ![Thomas\_Toseland](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/thomas_toseland/32/1256_2.png) [@Thomas\_Toseland](https://discuss.pennylane.ai/u/Thomas_Toseland)\
**Post date:** [November 8, 2022, 1:02am UTC](https://discuss.pennylane.ai/t/contribution-towards-pennylane/2276/3 "2022-11-08T01:02:37Z")

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Thank you for this, I look forward to sending you my attempt at contributing to pennylane, once I’ve made a working prototype.

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**Author:** ![CatalinaAlbornoz](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/catalinaalbornoz/32/1196_2.png) [@CatalinaAlbornoz](https://discuss.pennylane.ai/u/CatalinaAlbornoz)\
**Post date:** [November 8, 2022, 11:39pm UTC](https://discuss.pennylane.ai/t/contribution-towards-pennylane/2276/4 "2022-11-08T23:39:29Z")

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Awesome Thomas! I look forward to seeing it!