In this video we provide an overview of the contemporary experimental uses of autoencoders.
- Autoencoders can help score measurement points in a parameter space to help select measurements with a maximal informational yield.
True or False: All points in charge stability diagrams are equally useful when we measure current changes as a function of voltages.
Discovering Phase Transitions with Unsupervised Learning: https://arxiv.org/pdf/1606.00318.pdf
Paper: Quantum device fine-tuning using unsupervised embedding learning: https://iopscience.iop.org/article/10.1088/1367-2630/abb64c
Efficiently measuring a quantum device using machine learning: https://www.nature.com/articles/s41534-019-0193-4