# Use jax and pennylane in Quantum Convolutional Neural Networks

**URL:** <https://discuss.pennylane.ai/t/use-jax-and-pennylane-in-quantum-convolutional-neural-networks/7651>\
**Category:** PennyLane Help\
**Created:** [November 25, 2024, 3:40pm UTC](https://discuss.pennylane.ai/t/use-jax-and-pennylane-in-quantum-convolutional-neural-networks/7651 "2024-11-25T15:40:24Z")\
**Posts on this page:** 1\
**Showing post:** 2

<div class="post-metadata">

**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 26, 2024, 10:02pm UTC](https://discuss.pennylane.ai/t/use-jax-and-pennylane-in-quantum-convolutional-neural-networks/7651/2 "2024-11-26T22:02:39Z")

</div>

Hi @Alessandro_Castelli , welcome to the Forum!

I ran your code and I’m seeing an error arising from the fact that your data is a SymbolicTensor.

What demo where you using as example?  
Because your code is complex it’s hard to find how to fully solve it.

Maybe you can try an approach like I shared in [this August 5th post](https://discuss.pennylane.ai/t/question-of-parameter-shift-method-in-broadcasting/4940/6).

Otherwise if you can share a small _reproducible_ example of what you want to do that can help us help you.

I hope this helps!

---

_[View the full topic](https://discuss.pennylane.ai/t/use-jax-and-pennylane-in-quantum-convolutional-neural-networks/7651)._