Table 2 QDataSet features for quantum state tomography.

From: QDataSet, quantum datasets for machine learning

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 \(\widehat{\rho }(T)\)

Metric

State fidelity \(F(\rho ,\widehat{\rho })\), Quantum relative entropy

  1. 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.
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