DAQEC-Benchmark: Drift-Aware Quantum Error Correction Dataset with IBM Hardware Validation
Аннотация
Supporting data and code for "Drift-Aware Quantum Error Correction via Proactive Qubit Selection" submitted to Nature Communications. This dataset contains: 1. **Master Dataset** (master.parquet) - 756 QEC experimental runs on IBM quantum hardware - 126 paired probe-deploy sessions across 42 day-backend clusters - Repetition code d=3,5,7,9,11 with 12 qubits per instance - Logical error rates, syndrome statistics, gate fidelities, T1/T2 coherence times 2. **IBM Fez Hardware Validation** (November 2024) - Surface code d=3 experiments on 156-qubit Heron r2 processor - 17 qubits, 409 circuit depth, 1,170 gates - Proactive selection achieves 50.26% logical error rate (within 0.26% of random parity threshold) - Deployment study N=2 sessions per condition with qubit drift detection 3. **Analysis Outputs** - daily_summary.csv: Aggregate metrics per day-backend cluster - drift_characterization.csv: Temporal coherence degradation patterns - effect_sizes_by_condition.csv: Comparative effectiveness across backend/distance/conditions - syndrome_statistics.csv: Error burst frequency and tail compression metrics 4. **Reproducibility Materials** - protocol.yaml: Locked experimental protocol with pre-registration timestamp - run_ibm_experiments.py, analyze_ibm_results.py: IBM hardware execution scripts - REPRODUCIBILITY_CARD.md: Complete methodology documentation Key Findings: - 60% logical error rate reduction (Probe-Deploy: 0.0018 ± 0.0001 vs. Baseline: 0.0045 ± 0.0002) - 76-77% reduction in high-error tail (P₉₀ cut by ~3.5×) - 41-46% burst frequency reduction (p < 0.01) - Effect generalizes across 3 backends, 5 distances, 14 days - Hardware validation: IBM Fez surface code deployment functionally validates adaptive pipeline Statistical Unit: n = 126 session pairs (252 experiments) clustered by 42 day-backend combinations Method: Paired session analysis with cluster-robust standard errors and nonparametric bootstrapping License: Data CC-BY-4.0, Code MIT IBM Quantum: Public results on production hardware (ibm_brisbane, ibm_kyoto, ibm_osaka, ibm_fez) Associated Manuscript: Submitted to Nature Communications, December 2024 Author: Abduxoliq Ashuraliyev, Independent Researcher, Tashkent, Uzbekistan
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