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arXiv · 2512.24135

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

Dario Fasone·Shreyasi Mukherjee·Mauro Paternostro·Elisabetta Paladino·Luigi Giannelli·Giuseppe A. Falci
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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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Dario Fasone, Shreyasi Mukherjee, Mauro Paternostro, Elisabetta Paladino, Luigi Giannelli, Giuseppe A. Falci. 2025-12-30. Testing Noise Correlations by an AI-Assisted Two-Qubit Quantum Sensor. https://arxiv.org/abs/2512.24135

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