A graybox machine-learning framework is extended to qudits and demonstrated on simulated qutrits, with a local Taylor expansion for interpreting the learned noise dynamics.
Two commonly used bases for this purpose are the clock-shift basis and the Gell-Mann basis, both of which generalize the Pauli matrices to higher-dimensional systems
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Quantum Engineering of Qudits with Interpretable Machine Learning
A graybox machine-learning framework is extended to qudits and demonstrated on simulated qutrits, with a local Taylor expansion for interpreting the learned noise dynamics.