AI pre-decoders achieve O(1 μs) per round decoding runtimes on GPUs for surface codes while improving logical error rates over global decoding alone and enabling data-driven noise weight estimation.
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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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Fast and accurate AI-based pre-decoders for surface codes
AI pre-decoders achieve O(1 μs) per round decoding runtimes on GPUs for surface codes while improving logical error rates over global decoding alone and enabling data-driven noise weight estimation.
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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.