Theoretical Analysis and Simulations of All-photonic and Memory-based Quantum Repeaters and Networks

Oral-In-person

Abstract

Quantum repeaters are typically classified into “memory-based” or “all-photonic”, and each type may be best suited for a specific type of underlying quantum technology or a particular scale of quantum network. Using the software NetSquid, we perform theoretical analysis and simulations to quantify the relative performance and resource requirements of different types of repeaters, and identify tradeoffs of alternative quantum network architectures.

Publication: Jain, Charu, et al. "Modeling and Simulation of Trapped-ion Quantum Repeaters and Networks." Proceedings of the 2nd Workshop on Quantum Networks and Distributed Quantum Computing. 2025.

Chan, Chuen Hei, et al. "Modeling and Simulation of All-photonic Quantum Repeaters and Networks." Proceedings of the 2nd Workshop on Quantum Networks and Distributed Quantum Computing. 2025.

Chan, Chuen Hei, et al. "A Comparative Study of All-photonic and Memory-based Quantum Repeaters and Networks." 2025 IEEE International Conference on Quantum Computing and Engineering (QCE). DOI 10.1109/QCE65121.2025.00099

Presenters

  • Chuen Hei Chan

    • Virginia Tech

Authors

  • Chuen Hei Chan

    • Virginia Tech
  • Charu Jain

  • Ezra Kissel

  • Wenji Wu

  • Inder Monga

  • Edwin Barnes

    • Virginia Tech
  • Sophia Economou