CritPt benchmark shows state-of-the-art LLMs reach only 5.7% average accuracy on full-scale unpublished physics research tasks, rising to about 10% with coding tools.
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Error detection is integrated into adaptive quantum circuits for non-equilibrium phase transition simulations by mapping errors to resets, achieving post-selection-free logical simulations near break-even on current hardware.
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Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
CritPt benchmark shows state-of-the-art LLMs reach only 5.7% average accuracy on full-scale unpublished physics research tasks, rising to about 10% with coding tools.
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Error detection without post-selection in adaptive quantum circuits
Error detection is integrated into adaptive quantum circuits for non-equilibrium phase transition simulations by mapping errors to resets, achieving post-selection-free logical simulations near break-even on current hardware.