Quantum Computing for Next-Gen Ultra-Strong Lightweight Magnets
Sector: Energy • Location: Livermore, California, United States
Source: Mirage News
Lawrence Livermore National Laboratory (LLNL) leads a project funded by the U.S. Department of Energy ARPA-E to develop quantum and machine learning-accelerated software tools for discovering ultra-strong, lightweight magnets crucial for electronic motors, generators, and high-performance IT. The project aims to use hybrid classical-quantum algorithms to accurately predict material performance, po
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Original status | awarded |
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Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
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Description
Description | Lawrence Livermore National Laboratory (LLNL) leads a project funded by the U.S. Department of Energy ARPA-E to develop quantum and machine learning-accelerated software tools for discovering ultra-strong, lightweight magnets crucial for electronic motors, generators, and high-performance IT. The project aims to use hybrid classical-quantum algorithms to accurately predict material performance, potentially transforming energy technology and reducing reliance on critical material supply chains. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
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Data quality score | 100% |
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