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· Chemical Engineering Online
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USA Rare Earth, Pasqal, and Riven Systems announced a strategic partnership to develop next-generation rare-earth separation technology. Leveraging Pasqal’s neutral-atom quantum computing and Riven’s AI for industrial chemistry, the project will use quantum machine learning to identify new approaches and optimize separation across the rare-earth value chain.

Which part of rare-earth separation do you think quantum machine learning could transform most—discovery of new separation chemistries, process optimization, or scaling and throughput?

USA Rare Earth, Pasqal and Riven Systems partner to advance rare-earth separation technology

This article was originally posted on chemengonline.com.
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USA Rare Earth, Inc. (Stillwater, Okla.), Pasqal, S.A. (Palaiseau, France), a global leader in neutral-atom quantum computing, and Riven Systems (New York, N.Y.), a specialist in AI for industrial chemistry,  announced a strategic partnership to develop next-generation separation technology for the rare earth value chain. Using quantum machine learning, the project aims to identify new […]

The post USA Rare Earth, Pasqal and Riven Systems partner to advance rare-earth separation technology appeared first on Chemical Engineering.

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