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# FastQuantum
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FastQuantum is a research project exploring the intersection of **machine learning** and **quantum computing**.
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Its main objective is to develop an AI system capable of **predicting the optimal parameters** for efficiently running quantum algorithms.
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In the long term, the ambition is to go even further by creating a model able to **predict quantum algorithm results themselves**—a challenging goal that remains out of reach for now but guides the project’s future direction.
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## How does it work?
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FastQuantum currently focuses on using **Graph Neural Networks (GNNs)** and **Quantum Neural Networks (QNNs)** to learn how to predict optimal parameters for quantum algorithms.
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Many quantum algorithms—such as **MaxCut** or **Vertex Cover**—can be represented as graphs. This makes GNNs a natural fit: they can capture the structure of the problem instance and learn meaningful patterns directly from the graph topology. In parallel, QNNs allow the model to integrate quantum-inspired representations that may generalize better to circuits with quantum-specific behavior.
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## Getting Started
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### Installation
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Clone the repository and install the required dependencies:
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```bash
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git clone https://github.com/PoCInnovation/FastQuantum.git
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cd FastQuantum
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pip install -r requirements.txt
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```
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### Quickstart
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Forthcoming
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### Usage
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Forthcoming
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## Get involved
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You're invited to join this project ! Check out the [contributing guide](./CONTRIBUTING.md).
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If you're interested in how the project is organized at a higher level, please contact the current project manager.
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## Our PoC team ❤️
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Developers
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| [<img src="https://avatars.githubusercontent.com/u/146193362?v=4?size=85" width=85><br><sub>Elie Stroun</sub>](https://github.com/eliestroun14) | [<img src="https://avatars.githubusercontent.com/u/141178010?v=4?size=85" width=85><br><sub>Gregroire Caseaux</sub>](https://github.com/Nezketsu) | [<img src="https://avatars.githubusercontent.com/u/94183376?v=4?size=85" width=85><br><sub>Noa Smoter</sub>](https://github.com/Nerzouille) | [<img src="https://avatars.githubusercontent.com/u/101893788?v=4?size=85" width=85><br><sub>Pierre Beaud</sub>](https://github.com/divisio74)
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| :---: | :---: | :---: | :---: |
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Manager
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| [<img src="https://avatars.githubusercontent.com/u/52128884?v=4?size=85" width=85><br><sub>Sacha Henneveux</sub>](https://github.com/SachaHenneveux)
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| :---: |
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<h2 align=center>
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Organization
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</h2>
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<p align='center'>
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<a href="https://www.linkedin.com/company/pocinnovation/mycompany/">
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<img src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white" alt="LinkedIn logo">
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</a>
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<a href="https://www.instagram.com/pocinnovation/">
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<img src="https://img.shields.io/badge/Instagram-E4405F?style=for-the-badge&logo=instagram&logoColor=white" alt="Instagram logo"
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>
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</a>
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<a href="https://twitter.com/PoCInnovation">
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<img src="https://img.shields.io/badge/Twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white" alt="Twitter logo">
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</a>
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<a href="https://discord.com/invite/Yqq2ADGDS7">
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<img src="https://img.shields.io/badge/Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white" alt="Discord logo">
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</a>
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</p>
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<p align=center>
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<a href="https://www.poc-innovation.fr/">
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<img src="https://img.shields.io/badge/WebSite-1a2b6d?style=for-the-badge&logo=GitHub Sponsors&logoColor=white" alt="Website logo">
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</a>
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</p>
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> 🚀 Don't hesitate to follow us on our different networks, and put a star 🌟 on `PoC's` repositories
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> Made with ❤️ by PoC

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