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.