Add H²Q Thermodynamic Error Mitigation circuit models #87
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Author: Kenneth A Mendoza - Surface Code 5×5 (49 qubits, 163 gates) - Repetition Code 3-qubit (4 qubits, 13 gates) - Repetition Code 5-qubit (6 qubits, 23 gates) - Hysteretic syndrome filtering with φ = 2.67 - Target: 79.7% false positive reduction - Patent: US Provisional 63/927,371 Implementation: https://github.com/bengoechea/H2Q-Thermodynamic-Error-Mitigation
- Add h2qec entries to circuit-models.json (49Q/163g, 4Q/13g, 6Q/23g) - Update issue template dropdown with H²QEC circuit options - Enable community submissions for H²QEC validation results
- Add explicit clarification: error correction enhancement, not circuit solving - Document validation status (circuits ready, hardware validation pending) - Clarify integration with IBM stack (post-processing approach) - Address IP strategy (defensive patent, open source research) - Set expectations for peer review and academic collaboration
- Add validated hardware results (79.7% FP reduction, p < 0.0000001) - Include statistical validation metrics (Cohen's d = 6.36, 95% CI: 72.1-94.2%) - Update circuit performance table with validated results - Change status from 'pending' to 'completed' for hardware validation - Add Job ID and backend information for reproducibility
- Remove detailed circuit-by-circuit breakdown (protected until patent filing) - Remove specific Job IDs and detailed event counts - Remove detailed statistical metrics (Cohen's d, exact confidence intervals) - Keep only high-level validated result (79.7% reduction) which is in filed patent - Add note that detailed results will be published after patent filing - Protect H²UDI and other unfiled patent results
- Remove φ = 2.67 threshold value (from unfiled H²QUDI patent) - Remove H²QUDI cross-code universality results (895.72% - unfiled) - Remove H²Sense quantum sensing results (unfiled patent) - Keep only H²QEC filed patent information (79.7% result) - Generalize threshold descriptions to protect unfiled patent details
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Author: Kenneth A Mendoza
Implementation: https://github.com/bengoechea/H2Q-Thermodynamic-Error-Mitigation