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Found 4 papers, 3 papers with code
Deep learning enhanced noise spectroscopy of a spin qubit environment
The undesired interaction of a quantum system with its environment generally leads to a coherence decay of superposition states in time.
Noise fingerprints in quantum computers: Machine learning software tools
In this paper we present the high-level functionalities of a quantum-classical machine learning software, whose purpose is to learn the main features (the fingerprint) of quantum noise sources affecting a quantum device, as a quantum computer.
Learning the noise fingerprint of quantum devices
Noise sources unavoidably affect any quantum technological device.
Machine learning classification of non-Markovian noise disturbing quantum dynamics
In this paper machine learning and artificial neural network models are proposed for the classification of external noise sources affecting a given quantum dynamics.
