Entanglement Routing Simulation

Research article

This code is linked to the research work [Fainsin et al. (2025)] for numerical simulation of entanglement routing in real world cluster states.

Installation

1. Clone the repository:

   git clone https://github.com/DavidLKB/entanglement-routing

2. Navigate to the project directory:

   cd entanglement_routing

3. Build the environment

   python -m venv env_routing

4. Activate the environment

   .\env_routing\Scripts\activate
   

5. Install the required packages (works with Python 3.13.1, add Python to PATH)

   pip install setuptools
   pip install -r requirements.txt
   pip freeze
   

6. Open main.py and execute the file.

Project Structure

• cluster_manager: Build the cluster, and perform the analytical work.
• basis.py: Build the Gell-Mann matrices for efficient space parameter exploration
• optimizer.py: Optimizes parameters using a CMA-ES search algorithm.
• main.py: Entry script to run the project.

Requirements

• Python 3.x
• NumPy
• SciPy
• Matplotlib
• NetworkX

License

This project is licensed under the MIT License. Copyright (c) 2025 Fainsin David

Permission is hereby granted, free of charge, to any person obtaining a copy of this software...

Additional Requirement: Any use or derivative work of this code must cite the following article: D. Fainsin et al., Entanglement routing with passive optics in real-world CV-networks, ArXiV(2025).

Acknowledgements

This work was supported by the European Research Council under the Consolidator Grant COQCOoN (Grant No. 820079).

Contributing

Contributions are welcome! Please submit a pull request or open an issue to suggest improvements.