Table 2.

QDataSet features for quantum state tomography.

Item	Description
Objective	Algorithm to learn characterisation of state ρ given measurements {EO}.
Inputs	Set of Pauli measurements {EO}, one for each of the M experiments (in the QDataSet, this is
Label	Final state ρ(T)
Intermediate inputs	Hamiltonians, Unitary operators, Initial states ρ0
Output	Estimate of final state $\widehat{\rho }\left(T\right)$
Metric	State fidelity $F\left(\rho ,\widehat{\rho }\right)$, Quantum relative entropy

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.