US Project Combines Quantum AI and Robotics for Rare Earth Supply Chain

USA Rare Earth, along with France's Pasqal and Riven Systems, launched a project to separate rare earth elements using quantum machine learning and an autonomous laboratory. Riven will conduct thousands of automated experiments, and Pasqal will compare quantum models with classical ones. The goal is to reduce costs and energy consumption in processing, where China currently leads.

• Project announced September 17, partners are Pasqal and Riven Systems
• Riven to conduct thousands of automated experiments to select extractants
• Pasqal to compare quantum machine learning models with classical ones
• Goal: smaller and less energy-intensive rare earth separation plants