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PennyLaneAI / qml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
https://pennylane.ai/qml
Apache License 2.0
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[DEMO] Multi-Class Quantum Convolutional Neural Networks #1116

Closed marcomordacci1 closed 1 month ago

marcomordacci1 commented 1 month ago

General information

Name Marco Mordacci

Affiliation University of Parma

Demo information

Title Multi-Class Quantum Convolutional Neural Networks

Abstract This is a demo for the paper "Multi-Class Quantum Convolutional Neural Networks". We implemented a Quantum Convolutional Neural Networks (QCNNs) for multi-class classification. The network is tested on the MNIST dataset, considering 4, 6, 8 and all the 10 classes.

Relevant links Git repo: https://github.com/qslab-unipr/qcnn Paper: https://arxiv.org/abs/2404.12741

CatalinaAlbornoz commented 1 month ago

Hi @marcomordacci1 , thank you for submitting this demo! We will review it and get back to you next week. Have a good weekend!

ikurecic commented 1 month ago

Hi @marcomordacci1 , it's brilliant to see your code here! Would you mind adding inline backticks and codeblock environments to the readme of your repository, to make it a bit easier to read through the code details?

If you'd like to share your (and/or your collaborators' or university's) social media handles for LinkedIn or Twitter/X for our Marketing Team, that would be great. Let me know.

marcomordacci1 commented 1 month ago

Hi, of course! I will update it.

Our LinkedIn profiles are: https://www.linkedin.com/in/marco-mordacci-811430173 https://www.linkedin.com/in/davide-ferrari-4237a259/ https://www.linkedin.com/in/micheleamoretti/

marcomordacci1 commented 1 month ago

Hi, i have updated the readme file, let me know if there are any other issues. Thank you!

CatalinaAlbornoz commented 1 month ago

Thanks @marcomordacci1! We will review and let you know of the next steps.

ikurecic commented 1 month ago

Thanks a lot for the update, @marcomordacci1 , and for sharing your LinkedIn profiles! The repository looks great. Also, if you want to make text clickable (in the first paragraph of the readme, for example), you can use this format: [text](URL).

I'll make the update to the pennylane.ai website for you and our our marketing team will tag you on LinkedIn during promotion. Really excited to give your work a bit more promo — thanks so much for sharing it. Please feel free to reach out if you have any questions.

marcomordacci1 commented 1 month ago

Thank you for your effort and for this great opportunity!

kind regards, Marco