Corpus ID: 237941050

Deep learning of polarization transfer in liquid crystals with application to quantum state preparation

@inproceedings{Vavsinka2021DeepLO,
  title={Deep learning of polarization transfer in liquid crystals with application to quantum state preparation},
  author={Dominik Vavsinka and Martin Bielak and Michal Neset and Miroslav Jevzek},
  year={2021}
}
Accurate control of light polarization represents a core building block in polarization metrology, imaging, and optical and quantum communications. Voltage-controlled liquid crystals offer an efficient way of polarization transformation. However, common twisted nematic liquid crystals are notorious for lacking an accurate theoretical model linking control voltages and output polarization. An inverse model, which would predict control voltages required to prepare a target polarization, is even… Expand
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