Observe. Decide. Act. Mission-critical environments require good data and analysis. The ability to detect ground changes from satellites in space with synthetic aperture radar (SAR) observations—which see through clouds, fog, and darkness—has many applications including disaster response, infrastructure monitoring, defense, and land-use enforcement. Using real satellite sensor data, our researchers compared a quantum approach with classical change-detection methods and tested it on an IonQ quantum system. The results suggest quantum generative models may be especially useful when high-resolution sensing data produces difficult-to-model statistics. We are building on these results to advance analytics in defense, critical infrastructure, and environmental monitoring. Read the full announcement → Read our blog on quantum analytics and SAR or interferometric SAR (InSAR) observations → #IonQ #QuantumComputing #SAR #EarthObservation 📷 ↧ ↧ IonQ IonQ Quantum Change Detection on Satellite Radar Data How IonQ used a Quantum Circuit Born Machine and a trapped-ion QPU to detect changes in SAR and InSAR imagery from Capella Space satellites.