Basing holographic data storage on light's phase and polarization, as well as on its intensity, enables significantly greater data density

https://www.eurekalert.org/news-releases/1121069

"holographic storage usually based only on light's intensity (amplitude), ignoring its phase/ polarization, making storage/ retrieval incredibly complex... overcome using convolutional neural network solving decoding by learning to identify phase/ polarization signatures within simple diffraction intensity images, allowing all 3 light properties to be reconstructed simultaneously... significantly greater data storage density compared to traditional surface-level storage like hard drives or DVDs"