aiqbench takeQuantum Computing

This partnership marks a direct application of neutral-atom quantum computing to solve a specific bottleneck in rare earth separation chemistry, moving beyond theoretical benchmarks to practical industrial optimization. By leveraging Riven's automated laboratory data to train both classical and quantum machine learning models, the collaboration aims to accelerate the discovery of novel extractant molecules for Mixed Rare Earth Carbonate processing. This initiative represents a tangible step toward using quantum advantage to decouple rare earth production from Asian supply chains through improved chemical efficiency.

Sources coveringQuantum Zeitgeist, Quantum Computing Report

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Riven’s lab and Pasqal’s quantum computers aid USA Rare Earth

Quantum ZeitgeistSeptember 17, 20264 min read

USA Rare Earth, Riven Systems & Pasqal are partnering to advance rare earth separation tech, leveraging Pasqal’s neutral-atom computing power.

Nasdaq-listed Pasqal is applying its Neutral Atom QPU to benchmark quantum machine learning models against classical computing models, aiming to optimize chemical selection for rare earth element separation, USA Rare Earth says. The collaboration between Pasqal, USA Rare Earth, and Riven Systems will use thousands of automated experiments conducted by Riven’s “self-driving minerals separation laboratory” to train these models. This partnership specifically targets solving the challenge of separating Mixed Rare Earth Carbonate, a key…

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