Xin Fu

TL;DR: In this paper, the authors demonstrate a computationally specific integrated photonic hardware accelerator (tensor core) that is capable of operating at speeds of trillions of multiply-accumulate operations per second.

TL;DR: The results indicate the potential of integrated photonics for parallel, fast, and efficient computational hardware in data-heavy AI applications such as autonomous driving, live video processing, and next-generation cloud computing services.

TL;DR: In this article, a photonic integrated Si3N4 microcomb-based ultrafast photonic switching is proposed to provide enhanced performance for data center applications, which can offer high bandwidth, low network latency and an energy-efficient and scalable data center network.

TL;DR: This work uses a photonic integrated circuit comprising an Indium phosphide based SOA array and an arrayed waveguide grating to show sub-ns switching along with 25-Gbps NRZ burst mode transmission providing a path towards a more scalable and energy-efficient wavelength-switched network for data centers in the post Moore’s Law era.

TL;DR: A Correction to this paper has been published: https://doi.org/10.1038/s41586-021-03216-9.