Testing Noise Correlations by an AI-Assisted Two-Qubit Quantum Sensor
The research uses two strongly coupled qubits as a quantum sensor to classify time and space correlations in classical noise affecting quantum hardware. A machine learning model was trained on simulated data from three different driving conditions to distinguish between non-Markovian and Markovian noise types. The AI achieved high accuracy, proving it can detect global noise properties without needing direct cross-spectrum measurements.