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Updated: Jul 27, 2025

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Telecom-Wavelength Quantum Repeater Node Based on a Trapped-Ion Processor.

V Krutyanskiy1,2, M Canteri1,2, M Meraner1,2

  • 1Institut für Experimentalphysik, Universität Innsbruck, Technikerstrasse 25, 6020 Innsbruck, Austria.

Physical Review Letters
|June 9, 2023
PubMed
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This study demonstrates a quantum repeater node using trapped ions to create entanglement over 50 km of optical fiber. This breakthrough paves the way for long-distance quantum networks and distributed quantum computing.

Area of Science:

  • Quantum Information Science
  • Quantum Communication Technology
  • Atomic Physics

Background:

  • Quantum repeaters are essential for long-distance quantum communication.
  • Trapped ions offer promising functionalities for quantum repeater nodes.

Purpose of the Study:

  • To present a quantum repeater node based on trapped ions.
  • To demonstrate entanglement distribution and swapping over optical fibers.
  • To project the scalability of the system for future quantum networks.

Main Methods:

  • Utilizing trapped ions as single-photon emitters, quantum memories, and quantum processors.
  • Establishing entanglement across two independent 25-km optical fiber segments.
  • Demonstrating efficient entanglement swapping to extend entanglement over the combined 50-km channel.

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  • Calculating system improvements for multi-node entanglement distribution.

    • Main Results:

    • Successfully established entanglement between telecom-wavelength photons at the ends of a 50-km optical channel.
    • Demonstrated efficient entanglement swapping between the two fiber segments.
    • Calculated system improvements enabling entanglement distribution over 800 km at hertz rates.

    Conclusions:

    • The presented trapped-ion quantum repeater node is a viable building block for quantum networks.
    • The technology offers a near-term path towards distributed networks of quantum sensors, atomic clocks, and quantum processors.
    • Efficient entanglement distribution over extended distances is achievable with this approach.