USA Rare Earth partners with Pasqal and Riven for quantum machine-learning in rare-earth separation

Riven: Riven Systems specializes in AI-driven platforms for industrial chemistry, including self-driving laboratories that automate experiments and generate data for machine-learning models in critical minerals processing. For this collaboration, Riven will run thousands of automated experiments on rare-earth separation chemistry to produce training data supporting the quantum-AI platform. Pasqal: Pasqal is a global leader in neutral-atom quantum computing that develops and deploys quantum processing units for practical applications in materials simulation and hybrid computing systems. In this partnership, Pasqal contributes its neutral-atom QPU technology to benchmark quantum machine-learning models against classical ones for identifying effective extractant molecules in rare-earth separation. USA Rare Earth: USA Rare Earth is a rare earth, critical minerals, and advanced materials company focused on building an integrated domestic supply chain from mining to magnet manufacturing. In the context of this news, the company is partnering with Pasqal and Riven to apply quantum machine learning and automated experiments to improve rare-earth element separation processes using feedstocks from its Round Top project. Autonomous Chemistry: Self-driving labs combining robotics, AI, and computational modeling are accelerating discovery of new molecules for industrial separation processes. Quantum Applications: Neutral-atom quantum systems are being integrated into hybrid AI platforms to tackle complex materials and chemistry challenges beyond classical computing limits. Supply Chain Security: Western companies are collaborating across quantum computing, AI automation, and critical minerals expertise to strengthen independent rare-earth processing capabilities.