Diffractive optical networks reconstruct holograms instantaneously without a digital computer

Phys.org  November 2, 2021 Researchers at UCLA have developed a computer-free, all-optical process for the reconstruction of holograms using diffractive networks, diffractive network is an all-optical processor composed of a set of spatially engineered diffractive surfaces that collectively compute a desired transformation of an input light field through light-matter-interaction and diffraction. The spatial features of a diffractive network are trained and optimized for a given task using deep learning in a computer. After the training is complete, the diffractive surfaces can be fabricated and assembled to form a physical network that can all-optically reconstruct an input hologram of an unknown […]

Nanostructure-based lasers for information and communication technologies

Phys.org  August 18, 2021 Key applications in 5G and 6G optical networks require the utilization of laser sources to perform complex tasks at ultra-fast speed and to enable broadband, secure and energy efficient communications. An international team of researchers (France, USA – University of New Mexico) reviews recent findings and prospects on nanostructure based light emitters where active region is made with quantum-dot and quantum-dash nanostructures. To link the material and fundamental properties with the device physics, they closely examined spectral linewidth, polarization anisotropy, optical nonlinearities as well as microwave, dynamic and nonlinear properties. The paper focuses on photonic devices […]

New technique may enable all-optical data-center networks

EurekAlert  June 22, 2020 The rapid growth in the amount of data being transferred within data centres creates challenges for the future scalability of electronically switched data-centre networks. As an alternative photonic integration platforms have been demonstrated with nanosecond-scale optical switching times. However, switching times are limited by the clock and data recovery time. Researchers in the UK have shown that using the measurement and storage of clock phase values in a synchronized network, the data recovery times can be under 625 ps. Their approach uses the measurement and storage of clock phase values in a synchronized network to simplify clock […]