Supplemental data for "Large-scale quantum machine learning"

<p>This data supports&nbsp;&quot;Large-scale quantum machine learning&quot; by Tobias Haug, Chris N. Self, M. S. Kim (arxiv:2108.01039) https://arxiv.org/abs/2108.01039</p> <p>Related code can be found in the GitHub repository:&nbsp;(https://github.com/chris-n-self/large-scale-qml).&nbsp;The&nbsp;&#39;studies&#39; folder&nbsp;here can be dropped inside the code repository in order to run the analysis scripts.</p> <p>Both &#39;processed&#39; and &#39;unprocessed&#39; data is provided. Unprocessed data is the qiskit measurement results for each case study, executed on&nbsp;the IBM Quantum device <em>ibmq_guadalupe</em> and <em>ibmq_toronto</em>. Processed is the Gram matrix evaluated from the measurements&nbsp;and the data vectors needed to fit support vector machine classifiers.</p>