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+# FastQuantum
+
+FastQuantum is a research project exploring the intersection of **machine learning** and **quantum computing**.
+Its main objective is to develop an AI system capable of **predicting the optimal parameters** for efficiently running quantum algorithms.
+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.
+
+## How does it work?
+
+FastQuantum currently focuses on using **Graph Neural Networks (GNNs)** and **Quantum Neural Networks (QNNs)** to learn how to predict optimal parameters for quantum algorithms.
+
+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.
+## Getting Started
+
+### Installation
+
+Clone the repository and install the required dependencies:
+```bash
+git clone https://github.com/PoCInnovation/FastQuantum.git
+cd FastQuantum
+pip install -r requirements.txt
+```
+
+### Quickstart
+
+Forthcoming
+
+### Usage
+
+Forthcoming
+
+## Get involved
+
+You're invited to join this project ! Check out the [contributing guide](./CONTRIBUTING.md).
+
+If you're interested in how the project is organized at a higher level, please contact the current project manager.
+
+## Our PoC team ❤️
+
+Developers
+| [ Elie Stroun](https://github.com/eliestroun14) | [ Gregroire Caseaux](https://github.com/Nezketsu) | [ Noa Smoter](https://github.com/Nerzouille) | [ Pierre Beaud](https://github.com/divisio74)
+| :---: | :---: | :---: | :---: |
+
+Manager
+| [ Sacha Henneveux](https://github.com/SachaHenneveux)
+| :---: |
+
+
+
+> 🚀 Don't hesitate to follow us on our different networks, and put a star 🌟 on `PoC's` repositories
+
+> Made with ❤️ by PoC
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