aiqbench analysis
This research advances quantum communication by proposing a modulating retroreflector architecture for UAVs, which simplifies tracking requirements and relaxes pointing precision constraints in free-space optics systems. By deriving a new channel probability distribution of transmittance, the study analytically validates the feasibility of this approach for practical BB84-QKD deployment, offering a pathway to more energy-efficient aerial quantum networks.
Modulating Retroreflector-Aided UAV-Based FSO/QKD Systems
arXiv:2609.25928v1 Announce Type: cross Abstract: Unmanned aerial vehicles (UAVs)-based free-space optics (FSO)/quantum key distribution (QKD) systems require high-precision pointing mechanisms. This increases system complexity and limits rapid deployment for lightweight and energy-constrained UAVs. This paper proposes a modulating retroreflector (MRR)-equipped UAV architecture for BB84-QKD systems that enables simplified yet accurate tracking while relaxing pointing requirements. A realistic quantum channel model is developed, for which we newly derive the channel probability distribution of transmittance (PDT). Capitalizing on the derived channel PDT, several QKD performance metrics are analytically obtained. Numerical results verify the feasibility of the proposed MRR-aided UAV for practical QKD deployment, highlight its effectiveness over conventional UAV-ground systems, and validate the accuracy of the developed analytical framework.
Abstract:Unmanned aerial vehicles (UAVs)-based free-space optics (FSO)/quantum key distribution (QKD) systems require high-precision pointing mechanisms. This increases system complexity and limits rapid deployment for lightweight and energy-constrained UAVs. This paper proposes a modulating retroreflector (MRR)-equipped UAV architecture for BB84-QKD systems that enables simplified yet accurate tracking while relaxing pointing requirements. A realistic quantum channel model is developed, for which we newly derive the channel probability distribution of transmittance (PDT). Capitalizing on the derived channel PDT, several QKD performance metrics are analytically obtained. Numerical results verify the feasibility of the proposed MRR-aided UAV for practical QKD deployment, highlight its effectiveness over conventional UAV-ground systems, and validate the accuracy of the developed analytical framework.
Networking and Internet Architecture (cs.NI); Quantum Physics (quant-ph)
arXiv:2609.25928 [cs.NI]
(or arXiv:2609.25928v1 [cs.NI] for this version)
https://doi.org/10.48550/arXiv.2609.25928 Focus to learn more arXiv-issued DOI via DataCite
IEEE Communications Letters, Vol. 30, 2026
https://doi.org/10.1109/LCOMM.2026.3722531 Focus to learn more DOI(s) linking to related resources
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 225 words
Related coverage

News
Quantum Computing Report · Jun 7, 2026

News
Quantum Computing Report · Jul 25, 2026
Why Software Automation Is Hard
LessWrong · Jun 6, 2026
Sensor-Placement-Agnostic Sonomyography: Toward Continuous High-Dimensional Control by Users with Tetraplegia
arXiv · Jul 30, 2026