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Lithography-free photonic chip offers speed and accuracy for AI

Penn engineers have created a novel photonic device that provides programmable on-chip information processing without lithography, offering the speed, accuracy, and flexibility for AI applications. ....

Lliang Feng , Marco Menarini , Zihe Gao , Devorah Fischler , Tianwei Wu , School Of Engineering , Feng Lab , Penn Engineering Today , Applied Science , Materials Science , Electrical Systems , Penn Engineering ,

Analyzing Lithography-Free Reconfigurable Integrated Photonic Processor

Data-heavy technologies have been reformed by photonic chips. This happens on their own or jointly with conventional electronic circuits, such laser-powered devices send and process information at the speed of light, thereby making them a hopeful solution for data-hungry applications of artificial intelligence. ....

Marco Menarini , Tianwei Wu , Skyla Baily , Zihe Gao , Lliang Feng , University Of Pennsylvania School Engineering , Feng Lab , Pennsylvania School , Applied Science , Materials Science , Electrical Systems , Nature Photonics , Postdoctoral Fellow ,

Microlaser chip adding potential to quantum communication, computing

Penn University researchers have developed four-level qudits that enable significant advances in quantum cryptography. ....

Haoqi Zhao , Lliang Feng , Chris Vavra , Zhifeng Zhang , Penn University , Feng Lab , Penn Engineering , Materials Science , Electrical Systems , Control Engineering ,