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Quantum Federated Learning for Fraud Detection

CQTS NYUAD Quantum Use-Case for Qinnovision World Challenge 2025

NYU Abu Dhabi

Hosted by

NYU Abu Dhabi

Quantum Federated Learning for Fraud Detection

If this is your first competition on Aqora, we highly recommend you follow the H2 Groundstate Energy Tutorial to get familar with the platform and the CLI.

Downloading the template

To download the template for this use case, you can run the following command in the terminal
aqora template quantum-fraud-qinnovision
This will download the template into a folder called quantum-fraud-qinnovision.
You can then open the folder in Visual Studio Code by running the following command in the terminal
aqora lab -p quantum-fraud-qinnovision
This should open the folder in Visual Studio Code. If you receive a prompt, you can click on "Yes, I trust the authors".

Getting Started

You can find a template notebook in submission/solution.ipynb. Fill in your solution. You can run the notebook locally to test your solution by running the following in the terminal
aqora test
And when you are ready to submit run
aqora upload