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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A Hyperbolic Cycle Basis algorithm is introduced within a unified framework for constructing and benchmarking CSS quantum error correction codes on hyperbolic lattices, with performance metrics evaluated on two example codes.
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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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Systematic Approach to Hyperbolic Quantum Error Correction Codes
A Hyperbolic Cycle Basis algorithm is introduced within a unified framework for constructing and benchmarking CSS quantum error correction codes on hyperbolic lattices, with performance metrics evaluated on two example codes.