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npx versuz@latest install hiyenwong-ai-collection-collection-skills-css-syndrome-decodinggit clone https://github.com/hiyenwong/ai_collection.gitcp ai_collection/SKILL.MD ~/.claude/skills/hiyenwong-ai-collection-collection-skills-css-syndrome-decoding/SKILL.md--- name: css-syndrome-decoding description: > Factor-graph formulation of CSS quantum error correction syndrome decoding. Joint belief propagation on coupled Tanner graphs retains local channel correlation between Pauli error components. Provides unified view of joint BP and four-state BP equivalence for CSS code decoding. --- # Css Syndrome Decoding ## Description Factor-graph formulation of CSS quantum error correction syndrome decoding. Joint belief propagation on coupled Tanner graphs retains local channel correlation between Pauli error components. Provides unified view of joint BP and four-state BP equivalence for CSS code decoding. ## Activation Keywords - CSS code - syndrome decoding - belief propagation - factor graph - quantum error correction - Tanner graph - Pauli errors - arXiv: 2605.05132 ## Core Methodology ### Framework A Factor-Graph Formulation of CSS Syndrome Decoding: Joint BP and Four-State BP (arXiv:2605.05132) ### Key Principles 1. CSS syndrome decoding as binary factor graph with two coupled Tanner graphs 2. Joint BP retains local channel correlation between two Pauli error components 3. Joint BP and four-state BP are equivalent after relabeling and marginalization ## Usage Patterns ### When to Use - Analyzing quantum resource requirements beyond gate counts - Designing incentive-compatible quantum mechanisms - Understanding quantum error correction decoding strategies - Evaluating quantum-classical computational separations ### Tools - `web_search`: Find relevant papers on arXiv - `web_extract`: Retrieve paper content for analysis - `terminal`: Run quantum computing simulations or calculations - `python`: Implement algorithms and resource metrics ## Examples ### Example 1: Quantum Resource Analysis Analyze the magic resource requirements for a quantum algorithm by quantifying non-stabilizerness generation throughout the circuit. ### Example 2: Incentive-Compatible Quantum Design Design quantum scoring mechanisms using operator convex generators for quantum data markets or sensor protocols. ## Resources - Paper: https://arxiv.org/abs/2605.05132