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
    • AFRL
    • Air Force Research Lab
    • Griffiss Institute; Air Force Research Laboratory
  • Nick Barton

    • Murray Associates of Utica; Air Force Research Laboratory
  • Richard Birrittella

    • AFRL
    • National Academy of Sciences; Air Force Research Laboratory
  • A. Brownell

    • Murray Associates of Utica; Air Force Research Laboratory
    • AFRL
    • Air Force Research Lab
  • Clayton Craft

    • AFRL
    • Air Force Research Laboratory
  • Vekatesh Deenadayalan

    • Microsystems Engineering; Rochester Institute of Technology
    • Rochester Institute of Technology
    • Microsystems Engineering
  • M. L Fanto

    • Air Force Research Laboratory
    • AFRL
    • Air Force Research Lab
  • Gregory A Howland

    • Microsystems Engineering; Rochester Institute of Technology
    • Rochester Institute of Technology
    • Microsystems Engineering
  • 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
    • Rochester Institute of Technology
    • Microsystems Engineering
  • C. Mathers

    • PAR Governments System; Air Force Research Laboratory
  • Stefan F Preble

    • Microsystems Engineering; Rochesters Institute of Technology
    • Rochester Institute of Technology
    • Microsystems Engineering
    • Microsystems Engineering; Rochester Institute of Technology
  • A. J Rizzo

    • Air Force Research Laboratory
  • Kenneth Scalzi

    • Technergetics; Air Force Research Laboratory
    • AFRL
    • Air Force Research Lab
  • James Schneeloch

    • Air Force Research Laboratory
    • AFRL
    • Air Force Research Lab
  • Vijay Soorya Shunmuga Sundaram

    • Microsystems Engineering; Rochester Institute of Technology
    • Microsystems Engineering
  • Amos M Smith

    • Air Force Research Laboratory
    • AFRL
    • Air Force Research Lab
  • Christopher C Tison

    • Air Force Research Laboratory
    • AFRL
    • Air Force Research Lab
  • K.-A. Brickman-Soderberg

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