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Quantum advantage for fusion plasma simulation remains elusive, with current quantum approaches limited to linearized models, but a clear roadmap exists to overcome these bottlenecks.
Few-shot prompting with historical snapshots enables graph foundation models to generalize contingency analysis to unseen power system topologies, overcoming limitations of pure regression approaches.
A flow matching model learns a dynamically feasible trajectory manifold, enabling dexterous manipulation retargeting with orders of magnitude fewer samples than MPC.