shun-quantum-icc/add_linkselfie

LinkSelFiE: Link Selection and Fidelity Estimation in Quantum Networks

This repository contains the source code for reproducing the results of our INFOCOM'24 paper titled LinkSelFiE: Link Selection and Fidelity Estimation in Quantum Networks.

Prerequisites

To get started, ensure you have the following packages installed:

NetSquid, scipy, matplotlib

Repository Structure

• algorithms: Implementation of various link selection & fidelity estimation algorithms.
  • naive_nb.py: The naive algorithm based on network benchmarking.
  • online_nb.py: Our proposed LinkSelFiE algorithm.
  • succ_elim_nb.py: A successive elimination-based network benchmarking algorithm.
• evaluation.py: Script to visualize evaluation results and generate figures in the paper.
• nb_protocol.py: Implementation of the network benchmarking protocol.
• network.py: Builds the quantum network structure for the experiments.
• utils: A collection of helper functions.

How to Run

Execute the following command to reproduce all the figures in the paper:

python main.py

License

See LICENSE