Quantum Sensing Analyzer
U.S. Department of Defense – Air Force (SBIR)
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- U.S. Department of Defense – Air Force (SBIR)
- Award amount
- Not specified
- Deadline
- January 6, 2027
- Eligible countries
- United States
Summary
SBIR topic DAF27BZ02-NV014 (U.S. Department of Defense – Air Force), Phase I and II. Open to U.S. small businesses. Opens: December 2, 2026. Closes: January 6, 2027. The “Quantum Sensing Analyzer” project aims to address critical limitations in existing electromagnetic measurement technologies by developing a novel quantum-based sensing capability utilizing Rydberg atomic sensors. These sensors, leveraging quantum properties, exhibit extraordinary sensitivity and accuracy over a widespread frequency spectrum ranging from DC to 1 THz, with potential scalability to even broader ranges. This initiative is designed to modernize and standardize test and evaluation processes within the Department of Defense (DoD), particularly benefiting the Benefield Anechoic Facility (BAF) and its mission to support advanced electromagnetic system testing. Problem Statement and Opportunity: Current electromagnetic measurement techniques rely on diverse and complex instruments, which introduce inefficiencies, inconsistencies, and increased costs for the acquisition, testing, and integration of modern radar systems, electronic warfare platforms, communication systems, and antennas. These existing systems also face challenges in maintaining accuracy and repeatability, particularly when evaluating performance across a wide range of radio frequencies or within controlled environments like anechoic chambers. The introduction of Rydberg sensor technology represents a disruptive opportunity to establish a universal, high-precision, SI-traceable standard for electromagnetic measurements. By adopting a single, compact, and adaptable sensor for diverse measurement tasks—including spectrum analysis, field strength monitoring, and chamber characterization—this capability promises to significantly reduce infrastructure requirements, simplify operational workflows, and enhance confidence in test data accuracy. Project Objectives: Develop and validate a proof-of-concept Rydberg-based quantum…
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