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GPU4Quantum

Welcome to the qBraid 2025 GPU4Quantum Challenge! Find challenges, ideas, and logistics here.

Timeline

Challenge opens August 15th.

Registration closes September 15th. You must register before this deadline to be able to submit solutions in October.

Challenge closes October 15th at 5pm CT.

Challenges

There are three topics provided in this repository, but you can work on your own ideas if you prefer! There is also a introductory notebook (Intro_AI+QC.ipynb) that walks you through a high level overview of how AI can be used for quantum computing.

  1. Reservoir computing using a hybrid classical & quantum approach; work done in conjunction with Airbus (Classical-Quantum-Reservoir-Computing.ipynb)

  2. Error mitigation using machine learning (ML_Quantum_Error_Mitigation.ipynb)

  3. Using AI for developing decoders, work in progress, but see overview (AI_for_QEC.ipynb)!

Registration

Please register before September 15th using this link. You must register to participate in the challenge to get early access to GPU features on qBraid. Use the same email address for registration and submissions. This email must be associated with your qBraid account.

Submissions

Submit your solutions by providing a link to your GitHub repository. Your repository should have a clear README that describes what challenge you have worked on, what your solution is, and how it improves upon previous work. Be sure to provide a minimal working example so judges can effectively grade your work. Don't forget to cite resources you use, and feel free to work in teams!

Submissions will be graded by a team from qBraid, and winners will be declared in the first week of November.

Submit your work using this link.

FAQs

  1. I want to learn more about quantum computing. Where do I begin?

    qBraid has excellent courses to get you started on your quantum journey. Head over to qBook to start learning!

  2. Can I work in teams?

    Yes, feel free to work in teams, and be sure to add all names when submitting.

  3. Can I work on a different challenge or topic than listed above?

    Yes, feel free to work on a new topic. Clearly explain what you choose to work on and why you chose it.

  4. I need more credits to run things on qBraid.

    You can buy credits on account.qbraid.com. If you have an .edu email, you can avail the academic discount.

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Welcome to the qBraid 2025 GPU4Quantum Challenge! Find challenges, ideas, and logistics here.

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