USA Rare Earth, Pasqal, and Riven Systems Team Up to Revolutionize Rare Earth Processing with Quantum AI — Pasqal Holding SAS

Event summary

USA Rare Earth, Pasqal, and Riven Systems have formed a strategic partnership to develop next-generation separation technology for rare earth minerals using quantum machine learning.
The collaboration aims to identify new separation molecules that bind more effectively to rare earths, enabling smaller, lower-cost, and less energy-intensive processing facilities.
Riven Systems will conduct automated experiments to generate training data, while Pasqal’s quantum computing power will benchmark quantum machine learning models against classical computing-based models.
The partnership targets feedstocks from the Round Top mine in Texas and recycled materials from magnet manufacturing.
The initial project could lead to a deeper, extended collaboration, potentially creating an end-to-end extractant discovery process.

The big picture

This partnership brings together U.S. and French expertise in critical minerals and quantum computing, aiming to support a more secure, efficient, and competitive Western rare earth supply chain. The collaboration could potentially disrupt the current dominance of Chinese processing capabilities, particularly for heavy rare earths like dysprosium, terbium, and yttrium. The use of quantum machine learning and autonomous labs represents a significant shift in how the rare earth industry discovers and tests new separation chemistries, potentially reducing the reliance on trial-and-error methods.

What we're watching

Technology Integration: How the integration of quantum computing and AI will affect the efficiency and cost of rare earth processing.
Supply Chain Impact: Whether the partnership can help establish a more secure and competitive Western rare earth supply chain.
Regulatory and Geopolitical Dynamics: The pace at which regulatory and geopolitical factors will influence the adoption of new separation technologies.