DiffQEC is a diffusion-based generative decoder that improves logical error rates by up to 10.2% over minimum-weight perfect matching on Google's experimental quantum processor data and supplies posterior error distributions.
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DiffQEC: A versatile diffusion model for quantum error correction
DiffQEC is a diffusion-based generative decoder that improves logical error rates by up to 10.2% over minimum-weight perfect matching on Google's experimental quantum processor data and supplies posterior error distributions.