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Simulator of QUantum Network Communication (SeQUeNCe) is an open-source tool that allows modeling of quantum networks including photonic network components, control protocols, and applications.

Project description

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Quantum Networking in SeQUeNCe: Customizable, Scalable, Easy Debugging

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SeQUeNCe: Simulator of QUantum Network Communication

SeQUeNCe is an open source, discrete-event simulator for quantum networks. As described in our paper, the simulator includes 5 modules on top of a simulation kernel:

  • Hardware
  • Entanglement Management
  • Resource Management
  • Network Management
  • Application

These modules can be edited by users to define additional functionality and test protocol schemes, or may be used as-is to test network parameters and topologies.

Installing

SeQUeNCe requires Python 3.11 or later. You can simply install SeQUeNCe using pip:

pip install sequence

If you wish to make your own edits to the codebase, SeQUeNCe should be installed in development mode (a.k.a. editable install). To do so, clone and install the simulator as follows:

git clone https://github.com/sequence-toolbox/SeQUeNCe.git
cd SeQUeNCe
pip install --editable . --config-settings editable_mode=strict

For Linux and Mac users, you could use make install_editable instead of pip install --editable . --config-settings editable_mode=strict

Citation

Please cite us, thank you!

@article{sequence,
author = {Xiaoliang Wu and Alexander Kolar and Joaquin Chung and Dong Jin and Tian Zhong and Rajkumar Kettimuthu and Martin Suchara},
title = {SeQUeNCe: a customizable discrete-event simulator of quantum networks},
journal = {Quantum Science and Technology},
volume = {6},
year = {2021},
month = {sep},
doi = {10.1088/2058-9565/ac22f6},
url = {https://dx.doi.org/10.1088/2058-9565/ac22f6},
publisher = {IOP Publishing},
}

Running the GUI

Once SeQUeNCe has been installed as described above, simply run the gui.py script found in the root of the project directory

python gui.py

Usage Examples

Many examples of SeQUeNCe in action can be found in the example folder. The example includes jupyter notebook demos, and code used in published papers.

Additional Tools

Network Visualization

The example directory contains an example json file starlight.json to specify a network topology, and the utils directory contains the script draw_topo.py to visualize json files. To use this script, the Graphviz library must be installed. Installation information can be found on the Graphviz website.

To view a network, simply run the script and specify the relative location of your json file:

python utils/draw_topo.py example/starlight.json

This script also supports a flag -m to visualize BSM nodes created by default on quantum links between routers.

Contact

If you have questions, please contact Caitao Zhan at czhan@anl.gov.

Papers that Used and/or Extended SeQUeNCe

Please do a Pull Request to add your paper here!

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