The test moved MagNav from laboratory development into a real-world aviation environment where conventional visual references were largely unavailable. Navigation data was delivered directly to the pilots in real time through standard tablets, showing that the technology could be introduced without an extensive overhaul of cockpit instruments.
MagNav uses quantum sensors to read the Earth’s natural magnetic field and compare those measurements with magnetic signatures in the planet’s crust. DIU said this provides aircraft with a continuous navigation reference that remains available regardless of weather, time of day or access to GPS.
“This is a significant win for the department’s quantum sensing priorities, showcasing that MagNav capabilities are no longer a distant research goal,” said Kyle Norman, deputy director of DIU’s Kill Web portfolio. “We moved from problem sourcing to solicitation to prototype in a matter of months.”
DIU launched the effort in spring 2024 under the name “Transition of Quantum Sensing.” Honeywell was selected for prototype development after 72 companies responded to the commercial solutions opening.
Conventional backup systems can rely on radar mapping, visible features or internal sensors when GPS is unavailable. Internal sensors gradually drift, meaning a small initial error can develop into a substantial deviation during a long flight over terrain without recognizable landmarks.
DIU said the Earth’s magnetic field cannot be spoofed or blocked by hostile forces, making it a potential navigation reference when satellite signals are disrupted. Flying over the featureless and constantly changing ocean surface provided a test of the system under conditions that would otherwise depend heavily on internal sensors.
Honeywell and DIU plan to demonstrate MagNav aboard a U.S. military C-17 Globemaster III transport aircraft later this year. The next trial will extend the program’s evaluation of quantum navigation as a resilient backup for military and commercial aircraft operating without satellite-based positioning.
