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Oak Ridge National Laboratory
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Fragment construction, not solution, drives the algorithmic bias in predicting tritium binding energies in molten salts, revealing a critical insight for future quantum-classical approaches.
Quantum optimization can now tackle previously intractable, large-scale scientific optimization problems with dense, higher-order interactions, outperforming classical methods in both speed and solution quality.
