Table 3.

QDataSet features for quantum noise spectroscopy.

Item	Description
Objective	Algorithm to estimate noise operators $\left\{V_O\right\}$, thereby characterising relevant features of noise affecting quantum system.
Inputs	Pulse sequence, reconstructed from the pulse_parameters feature in the dataset.
Label	Set of measurements $\left\{E_O\right\}$
Intermediate inputs	Hamiltonians, Unitary operators, Initial states ${\rho }_0$
Output	Estimate of measurements $\left\{{\widehat{E}}_O\right\}$
Metric	MSE (between estimates and label data)
	$MSE\left(E_O,{\widehat{E}}_O\right)$                             (34)

The left columns lists typical categories in a machine learning architecture. The right column describes the corresponding feature(s) of the QDataSet that would fall into such categories for the use of the QDataSet in training quantum tomography algorithms.