PAEMS: Precise and Adaptive Error Model for Superconducting Quantum Processors

This dataset contains comprehensive experimental and simulation data for quantum error correction using repetition codes on multiple superconducting quantum computing platforms. ## Dataset Contents ### Multi-Round Repetition Code Data- Experimental data from IBM Quantum processors (Brisbane, Sherbrooke, Torino)- 21 qubits, 30 measurement rounds- Correlation matrices and detection events- CMA-ES optimized noise parameters- Cross-platform comparative analysis ### Single-Round Repetition Code Data - X-basis and Z-basis measurements- Multiple platforms: IBM, China Mobile, QuantumCTeck- 5-21 qubit systems- Total variation distance optimization results- Hardware parameters and visualization ## Key Features- Cross-platform universality validation- Physics-based noise model decomposition- Complete analysis workflows and visualization The data supports research in quantum error correction, noise modeling, and cross-platform quantum computing validation.