USAR formed a technology partnership with Pasqal and Riven to develop quantum machine-learning methods for separating rare-earth elements. The Details: · Research focus: The partners will seek extractant molecules for lower-cost, smaller, and less energy-intensive rare-earth separation facilities. · Autonomous testing: Riven will conduct thousands of automated experiments involving rare-earth separation chemistry. · Quantum models: Pasqal will use its neutral-atom quantum processi

USAR formed a technology partnership with Pasqal and Riven to develop quantum machine-learning methods for separating rare-earth elements. The Details: · Research focus: The partners will seek extractant molecules for lower-cost, smaller, and less energy-intensive rare-earth separation facilities. · Autonomous testing: Riven will conduct thousands of automated experiments involving rare-earth separation chemistry. · Quantum models: Pasqal will use its neutral-atom quantum processing unit and benchmark quantum models against classical computing models. · Target elements: The research includes dysprosium, terbium, and yttrium, using feedstocks from USA Rare Earth's Round Top mine. · Platform goal: The companies aim to create an end-to-end quantum-AI system for discovering and testing extractant molecules.