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Alice & Bob and Partners Awarded $3.9M ARPA-E Grant for Quantum Magnet Design

Quantum Computing Report
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A $3.9 million ARPA-E grant was awarded to Alice & Bob, Los Alamos National Laboratory, and GE Vernova for a three-year project to develop fault-tolerant quantum algorithms identifying rare-earth-free permanent magnets. The initiative targets replacing neodymium-iron-boron magnets, whose supply chains face geopolitical risks, by achieving a 10,000x speedup over classical simulations for material discovery. The hybrid approach combines classical algorithms (led by Professor Emanuel Gull) for environmental modeling with Alice & Bob’s quantum processors simulating electron interactions in candidate materials. Los Alamos will optimize quantum circuits using tensor networks, while Alice & Bob’s cat-qubit hardware and theoretical estimates will validate performance targets. GE Vernova will assess commercial viability, with the framework potentially extending to broader computational chemistry and materials science applications if successful.
Alice & Bob and Partners Awarded $3.9M ARPA-E Grant for Quantum Magnet Design

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Alice & Bob and Partners Awarded $3.9M ARPA-E Grant for Quantum Magnet Design Alice & Bob, in collaboration with Los Alamos National Laboratory and GE Vernova, has been awarded $3.9 million from the U.S. Department of Energy’s ARPA-E Quantum Computing for Computational Chemistry (QC3) program. The three-year project aims to develop fault-tolerant quantum algorithms to identify rare-earth-free permanent magnets, which are essential components for electric motors and turbines. The effort is directed toward providing a technical alternative to neodymium-iron-boron (NdFeB) magnets, whose supply chains are currently geographically concentrated and subject to political constraints. The technical objective of the project is to achieve a 10,000-fold speed-up in computing time compared to current state-of-the-art classical simulations.

The team will implement a hybrid approach where classical algorithms, developed by a group led by Professor Emanuel Gull, calculate environmental parameters while Alice & Bob’s quantum algorithms simulate highly correlated electronic systems.

Los Alamos National Laboratory will contribute tensor network tools for quantum circuit optimization, and the performance targets will be validated experimentally on Alice & Bob’s cat-qubit hardware as well as through theoretical resource estimates. Classical computers struggle to accurately model the complex quantum interactions between electrons that define the magnetic behavior of candidate materials. By using quantum processors to model these systems directly, the consortium intends to enable realistic material calculations within a 24-hour window. GE Vernova’s Advanced Research accelerator will support the project by performing a technoeconomic analysis to evaluate the commercial viability of materials discovered through the hybrid algorithm. If successful, the researchers indicate that the framework could be adapted to broader applications in computational chemistry and materials science. For the complete technical details on the ARPA-E award and the rare-earth-free magnet project, consult the official Alice & Bob announcement here. March 31, 2026 Mohamed Abdel-Kareem2026-03-31T10:35:05-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Source: Quantum Computing Report