Morphing circuits optimize syndrome extraction for Abelian 2BGA and other QEC codes, yielding new circuits with improved parameters, connectivity, and stability against measurement errors.
Soft-Information Post-Processing for Chase-Pyndiah Decoding Based on Generalized Mutual Information
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
A piecewise-linear max-log approximation to SOCS decoding for turbo product codes outperforms Chase-Pyndiah and approaches full SOCS performance for (256,239) eBCH-based TPCs.
Scaling extrinsic messages by decoder confidence in Chase-Pyndiah decoding for product codes delivers a 0.1 dB gain over the baseline decoder.
citing papers explorer
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Optimising Quantum Error Correction Using Morphing Circuits
Morphing circuits optimize syndrome extraction for Abelian 2BGA and other QEC codes, yielding new circuits with improved parameters, connectivity, and stability against measurement errors.
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A Log-Domain Approximation of SOCS Decoding for Turbo Product Codes
A piecewise-linear max-log approximation to SOCS decoding for turbo product codes outperforms Chase-Pyndiah and approaches full SOCS performance for (256,239) eBCH-based TPCs.
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Improved Chase-Pyndiah Decoding for Product Codes with Scaled Messages
Scaling extrinsic messages by decoder confidence in Chase-Pyndiah decoding for product codes delivers a 0.1 dB gain over the baseline decoder.