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.
Serra-Peralta , M
2 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
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quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Concatenates Laflamme and Iceberg codes with selective filtering for a partially fault-tolerant quantum computation scheme that simulations indicate performs reliably at realistic noise levels.
citing papers explorer
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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.
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Fire and ice: Partially fault-tolerant quantum computing with selective state filtering
Concatenates Laflamme and Iceberg codes with selective filtering for a partially fault-tolerant quantum computation scheme that simulations indicate performs reliably at realistic noise levels.