Ultra-Sensitive Quantum Telemetry Receiver
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The Department of Defense, through the United States Air Force, seeks to revolutionize telemetry capabilities by developing an ultra-sensitive quantum telemetry receiver based on Rydberg atomic sensor technology, addressing critical spectrum constraints imposed by commercial spectrum auctions and congested operational environments. Traditional telemetry systems are hampered by limited bandwidth, poor signal sensitivity, and inflexibility in contested electromagnetic conditions, prompting the need for a paradigm shift. This initiative leverages quantum sensing to exploit underutilized portions of the electromagnetic spectrum, eliminating reliance on licensed bands while dramatically improving signal-to-noise ratio, operational bandwidth, and environmental adaptability. The goal is a prototype system that surpasses classical receivers in performance and enables cost-effective, incremental upgrades to existing infrastructure without requiring full-scale replacements, thereby preserving legacy investments. The project follows the SBIR Phase I and II structure, starting with foundational research to define key performance parameters and evaluate Rydberg sensor feasibility through modeling and preliminary lab validation, with deliverables including technical reports and design concepts. Phase II advances to the fabrication and rigorous testing of a fully integrated prototype under realistic, high-congestion conditions, culminating in end-to-end demonstrations within an ABMS-compatible architecture to ensure interoperability with Joint All-Domain Command and Control systems. Success requires not only technical validation but also the establishment of transition pathways with Air Force stakeholders to enable future production and fielding. This effort aligns with DoD modernization priorities, targeting a technological leap from TRL 2 to TRL 6 by developing a resilient, scalable quantum receiver that enhances mission-critical telemetry in contested environments while reducing long-term costs associated with spectrum leasing and system overhauls.
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