The deep neural network models that power today's most demanding machine-learning applications are pushing the limits of traditional electronic computing hardware, according to scientists working on a ...

Researchers at MIT, Cambridge, Mass., say they have demonstrated what they believe is "the strongest nonlinear light-matter coupling ever achieved in a quantum system." They add that their experiment ...

A University of Washington-led team, with MIT and Intel, has developed a programmable photonic integrated circuit that uses phase-change materials to eliminate static power consumption. The chip can ...

The nonlinear susceptibility is a measure of a material's nonlinear response to an applied electric field. It determines the strength of the nonlinear effects and is related to the crystal's symmetry ...

In the increasingly digital world, the demand for faster, more efficient and miniaturized optical devices is ever-growing.

"Our nonlinear system transmits quantum information with 94% fidelity, compared to the theoretical limit of 33% on systems using linear optical components," said Kejie Fang, an Illinois professor of ...

Nonlinear optics is a branch of optics that deals with the complex nonlinear relationships between the optical response of the medium and the incident light when it interacts with the optical medium.

The study of nonlinear optical properties is central to the advancement of photonic technology, facilitating all‐optical switching, frequency conversion and optical limiting. These phenomena arise ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Subscribe to our ...

Nonlinear optics has long relied on high-power lasers, whose spatial and temporal coherence ensures efficient nonlinear frequency conversion. However, a new study challenges the traditional assumption ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...