In the nanometer range (billionth of a meter), interactions occur between light and matter that do not happen on larger ...

For example, ONNs designed based on the 4f system typically have their computing units designed on the mask at the focal plane, which is limited. In contrast, diffractive optical neural networks ...

Two examples of how Gu’s research strategy has led to progress ... “Optical phase change materials have attracted a lot of interest because of the promising application in optical computing,” said Li ...

In particular, any optical scheme must provide outputs ... The paper also identifies many misconceptions about new computing devices. For example, they assert that while general-purpose desktop ...

Examples include ultrafast imaging ... “Our results highlight the potential of all-optical computing beyond what can be achieved with digital electronics,” say Li, Parto and co. “This work highlights ...

It introduces nonlinearity into photonic computing systems, enabling all-optical neural networks and optical machine learning accelerators. Examples of activation functions are ReLU, sigmoid ...

A new generation of specialty optical fibers has been developed by ... transfer expected to arise in the future age of quantum computing. Quantum technologies promise to provide unparalleled ...

The idea of optical computing—the use of photons instead of electrons to perform computational operations—has been around for decades. However, interest has resurged in recent years ...

For example, the propagation of optical signals ... ultrafast pulse/beam shaping, and optical computing. More information: Yulong Wang et al, Spatiotemporal Fourier transform with femtosecond ...

Optical computing is tempting but unwieldy technology ... with virtually no energy requirement – simple lenses can perform Fourier transforms, for example. However, what is easily possible can differ ...