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Towards a Barium Trapped-Ion System Onboard an UAS

POSTER

Abstract

Quantum repeaters require a quantum memory component to operate. Any large scale quantum network will require these repeaters to operate, and laboratory demonstrations of trapped ions have been shown to perform well enough to serve as the memory in such a system. For many use cases, fiber links between quantum fixed-location networking nodes will fully meet the needs of the network. However, in some cases a mobile networking node may be required. Here we show progress towards the operation of a trapped barium ion onboard an unmanned aircraft system [UAS]. We show early work on preparing our barium trapped-ion system for flight aboard a UAS. This includes tests showing the operation of integrated photonic circuits onboard a ground-tethered UAS in-flight within an indoor test environment, and the operation of a compact barium ion trap within a footprint compatible with the UAS's cargo area. This work demonstrates the feasibility of operating a trapped ion quantum memory outside of pristine laboratory conditions. Approved for Public Release; Distribution Unlimited: AFRL-2023-5818.

Presenters

  • Zachary S Smith

    Air Force Research Lab, Air Force Research Laboratory

Authors

  • Zachary S Smith

    Air Force Research Lab, Air Force Research Laboratory

  • P. M Alsing

    Air Force Research Laboratory

  • Pramod Asagodu

    Griffiss Institute, Air Force Research Laboratory, Air Force Research Lab, Griffiss Institute; Air Force Research Laboratory, AFRL

  • Nick Barton

    Murray Associates of Utica; Air Force Research Laboratory

  • Richard Birrittella

    National Academy of Sciences; Air Force Research Laboratory, AFRL

  • Andrew Brownell

    Murray Associates of Utica; Air Force Research Laboratory, Air Force Research Lab, AFRL

  • Clayton Craft

    Air Force Research Laboratory, AFRL

  • Vekatesh Deenadayalan

    Microsystems Engineering; Rochester Institute of Technology, Microsystems Engineering, Rochester Institute of Technology

  • Michael L Fanto

    Air Force Research Laboratory, Air Force Research Lab, AFRL

  • Gregory A Howland

    Microsystems Engineering; Rochester Institute of Technology, Microsystems Engineering, Rochester Institute of Technology

  • D. Hucul

    Air Force Research Laboratory

  • D. Hummel

    PAR Government Systems; Air Force Research Laboratory

  • Andrew Klug

    Technergetics; Air Force Research Laboratory, AFRL

  • Michael Macalik

    Booz Allen; Technergetics; Air Force Research Laboratory, Booz Allen; Air Force Research Laboratory

  • Evan Manfreda-Schulz

    Microsystems Engineering; Rochester Institute of Technology, Microsystems Engineering, Rochester Institute of Technology

  • C. Mathers

    PAR Governments System; Air Force Research Laboratory

  • Stefan F Preble

    Microsystems Engineering; Rochesters Institute of Technology, Microsystems Engineering, Microsystems Engineering; Rochester Institute of Technology, Rochester Institute of Technology

  • A. J Rizzo

    Air Force Research Laboratory

  • Kenneth Scalzi

    Technergetics; Air Force Research Laboratory, Air Force Research Lab, AFRL

  • James Schneeloch

    Air Force Research Laboratory, Air Force Research Lab, AFRL

  • Vijay Soorya Shunmuga Sundaram

    Microsystems Engineering; Rochester Institute of Technology, Microsystems Engineering

  • Amos M Smith

    Air Force Research Laboratory, Air Force Research Lab, AFRL

  • Christopher C Tison

    Air Force Research Laboratory, Air Force Research Lab, AFRL

  • Kathy-Anne Soderberg

    Air Force Research Laboratory, Air Force Research Lab, University of Chicago