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

ORAL

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.

*This research is supported by the Quantum Internet to Accelerate Scientific Discovery ASCR Research Program funded through Berkeley Lab FWP FP00013429, by Berkeley Lab LDRD 25-153, and by the Virginia Common-wealth Cyber Initiative (CCI).

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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

    • Lawrence Berkeley National Laboratory

  • Ezra Kissel

    • Lawrence Berkeley National Laboratory

  • Wenji Wu

    • Lawrence Berkeley National Laboratory

  • Inder Monga

    • Lawrence Berkeley National Laboratory

  • Edwin Barnes

    • Virginia Tech

  • Sophia E Economou

    • Virginia Tech