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
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LDGM codes enable syndrome measurement for QLDPC codes with controlled constant-weight stabilizers, yielding lower logical error rates than repeated extraction on a distance-5 surface code.
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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Fault-Tolerant QLDPC Syndrome Measurement via LDGM Encoding
LDGM codes enable syndrome measurement for QLDPC codes with controlled constant-weight stabilizers, yielding lower logical error rates than repeated extraction on a distance-5 surface code.