Multi-Platform Cross-Validation of Interaction Effect of Drift-Aware Quantum Error Correction
Abstract
Version 2.0 – Multi-Platform Cross-Validation Package This dataset comprises 284 hardware executions across four quantum computing platforms and two qubit technologies (superconducting and trapped-ion). It provides comprehensive cross-platform validation of the drift-aware quantum error correction (QEC) interaction effect. Key Results by Platform IBM Torino (133 qubits): N=69 pairs, interaction r=0.71, P < 10⁻¹¹ IBM Fez (156 qubits): 100% logical error rate (LER) improvement, 53.8% depth reduction IQM Emerald (54 qubits): N=80 runs, p=0.0485 (statistically significant) IonQ Forte-1 (36 qubits): d=18 repetition code (largest hardware distance achieved) Rigetti Ankaa-3 (82 qubits): 8 conditions tested at d=5 and d=9 Contents Multi-platform validation data (JSON format) Quantum task identifiers (IBM job IDs, Amazon Braket ARNs) Statistical analysis results Comprehensive validation report For full documentation, see MULTI_PLATFORM_CROSS_VALIDATION_README.md.