Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation through the use of passive structured phase masks and the propagation of light. However, one major challenge remains: systems trained in model-based simulations often fail to perform optimally in real experimental settings, where misalignments, noise, and model inaccuracies are difficult to capture.
Trump’s Threats To Jail Jerome Powell Could Spark ‘Hyperinflation’ Fears, Warns This Economist: ‘This Is The Stuff Of Tin-Pot Dictators’
...
Read moreDetails