Testing Noise Correlations by an AI-Assisted Two-Qubit Quantum Sensor

• URL: http://arxiv.org/abs/2512.24135v1
• Date: Tue, 30 Dec 2025 10:45:16 GMT
• Title: Testing Noise Correlations by an AI-Assisted Two-Qubit Quantum Sensor
• Abstract summary: We consider different classes of noise, according to their Markovianity and spatial correlations.<n>This approach reaches around 90% accuracy with a minimal experimental overhead.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce and validate a machine learning-assisted protocol to classify time and space correlations of classical noise acting on a quantum system, using two interacting qubits as probe. We consider different classes of noise, according to their Markovianity and spatial correlations. Leveraging the sensitivity of a coherent population transfer protocol under three distinct driving conditions, the various noises are discriminated by only measuring the final transfer efficiencies. This approach reaches around 90% accuracy with a minimal experimental overhead.

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