With the rapid growth of data-intensive computing, optical computing has become an important method for information processing with high bandwidth, low latency, and parallel operation. Early implementations were bench-top free-space systems, in which lenses, masks, and holograms were used to perform Fourier filtering,...
Tian-Wei Wang, Yi-Yi Zhu, Wei-Wei Liu et al.· PhotoniX· 0 citations
DNNsolver is proposed, a deep learning-based electromagnetic surrogate model that learns the scattering response of diffractive layers by predicting the scattering matrix rather than source-dependent output fields, which decouples the incident wavefront from the model and could be applied to arbitrary input fields.
The recovery of quantum information after subsystem loss is a central challenge in quantum information processing. However, some states remain beyond the reach of any recovery strategies. Here we identify the algebraic origin of virtual irrecoverability, the \emph{ghost information}---correlations encoded in the global...
The recovery of quantum information after subsystem loss is a central challenge in quantum information processing. However, some states remain beyond the reach of any recovery strategies. Here we identify the algebraic origin of irrecoverability, the ghost information---correlations encoded in the global state that lea...
Yuan Liu, Linhan Lin, Ke-Mi Xu· 1 citation
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