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Quantum Technologies and Edge Devices in Electrical Grids: Opportunities, Challenges, and Future Directions

arXiv (Cornell University)

Abstract

In modern power systems, edge devices serve as local hubs that collect data, perform on-site computing, sense electrical parameters, execute control actions, and communicate with neighboring edge devices as part of the larger grid. However, as the number of monitored nodes and control loops grows, traditional edge devices face serious limits. They can become overloaded by complex signal processing and decision tasks, causing delays and higher energy use. Standard sensors hit a noise floor that prevents them from detecting miniature changes, making it harder to spot early signs of faults or instability. Meanwhile, conventional communication links struggle with bandwidth limits, security risks, and rising encryption demands, which together slow down and weaken the transfer of critical grid information. Quantum technologies have the potential to overcome these challenges. Quantum computers can deliver exponential speed-ups for optimization and machine-learning tasks that ordinary processors cannot handle. Quantum sensors can sense signals with atomic precision, giving edge devices a more precise view of grid dynamics. Quantum communication techniques, including quantum key distribution, offer methods to achieve information-theoretic security and ensure that information arrives quickly and without tampering. We explore how quantum technologies can be integrated into edge devices, highlighting both opportunities and challenges.

Authors 14

  1. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Energy Systems Engineering , Forschungszentrum Jülich , 52428 Jülich , Germany

    Institute for Automation of Complex Power Systems , RWTH Aachen University , 52074 Aachen , Germany

  2. RWTH Aachen University

    Affiliation as printed

    Communication and Distributed Systems , RWTH Aachen University , 52074 Aachen , Germany

  3. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Energy Systems Engineering , Forschungszentrum Jülich , 52428 Jülich , Germany

    Institute for Automation of Complex Power Systems , RWTH Aachen University , 52074 Aachen , Germany

  4. Forschungszentrum Jülich

    Affiliation as printed

    Forschungszentrum Jülich GmbH , Peter Grünberg Institute , Quantum Control (PGI -8) , 52425 Jülich , Germany

  5. Fraunhofer Institute for Production Technology IPT

    Affiliation as printed

    Department of Digital Energy , Fraunhofer Institute for Applied Information Technology , Aachen 52074 , Germany

  6. Affiliation as printed

    ICE-

  7. Affiliation as printed

    ICE-

  8. Forschungszentrum Jülich · University of Cologne

    Affiliation as printed

    Forschungszentrum Jülich GmbH , Peter Grünberg Institute , Quantum Control (PGI -8) , 52425 Jülich , Germany

    Institute for Theoretical Physics , University of Cologne , 50937 Köln , Germany

  9. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Energy Systems Engineering , Forschungszentrum Jülich , 52428 Jülich , Germany

    Institute for Automation of Complex Power Systems , RWTH Aachen University , 52074 Aachen , Germany

  10. University of Münster · CeNTech

    Affiliation as printed

    Center for NanoTechnology -CeNTech , 48149 Münster , Germany

    Department for Quantum Technology , University of Münster , 48149 Münster , Germany

  11. Jülich Aachen Research Alliance

    Affiliation as printed

    ICE-

    JARA-Energy , 52425 Jülich , Germany

  12. RWTH Aachen University

    Affiliation as printed

    Communication and Distributed Systems , RWTH Aachen University , 52074 Aachen , Germany

  13. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Energy Systems Engineering , Forschungszentrum Jülich , 52428 Jülich , Germany

    Institute for Automation of Complex Power Systems , RWTH Aachen University , 52074 Aachen , Germany

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