Object classification through a single-pixel detector

Machine vision systems have many applications, including self-driving cars, intelligent manufacturing, robotic surgery and biomedical imaging, among many others. Most of these machine vision systems use lens-based cameras, ...

When memory qubits and photons get entangled

Encrypting data in a way that ensures secure communication is an ever-growing challenge because crucial components of today's encryption systems cannot withstand future quantum computers. Researchers around the world are ...

Using deep-sea fiber optic cables to detect earthquakes

Seismologists at Caltech working with optics experts at Google have developed a method to use existing underwater telecommunication cables to detect earthquakes. The technique could lead to improved earthquake and tsunami ...

Autofocusing of microscopy images using deep learning

Optical microscopes are frequently used in biomedical sciences to reveal fine features of a specimen, such as human tissue samples and cells, forming the backbone of pathological imaging for disease diagnosis. One of the ...

Optical network shapes pulses of light

A team of UCLA engineers and researchers has developed a new method to shape light pulses by creating physical networks that are composed specially engineered layers. These layers are designed using deep learning and then ...

The world's first integrated quantum communication network

Chinese scientists have established the world's first integrated quantum communication network, combining over 700 optical fibers on the ground with two ground-to-satellite links to achieve quantum key distribution over a ...

Tiny optical cavity could make quantum networks possible

Engineers at Caltech have shown that atoms in optical cavities—tiny boxes for light—could be foundational to the creation of a quantum internet. Their work was published on March 30 by the journal Nature.

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