Optical microcombs represent a new paradigm for generating laser frequency combs based
on compact chip-scale devices, which have underpinned many modern technological …

Optical frequency combs offer an unrivalled degree of frequency measurement precision
that underpins the advance of modern technology in both fundamental science and …

The emergence of parallel convolution-operation technology has substantially powered the
complexity and functionality of optical neural networks (ONN) by harnessing the dimension …

In many disciplines, states that emerge in open systems far from equilibrium are determined
by a few global parameters,. These states can often mimic thermodynamic equilibrium, a …

The growth of computing needs for artificial intelligence and machine learning is critically
challenging data communications in today's data-centre systems. Data movement …

Erbium-doped fiber amplifiers revolutionized long-haul optical communications and laser
technology. Erbium ions could provide a basis for efficient optical amplification in photonic …

As a fundamental optical approach to interferometry, Sagnac interference has been widely
used for reflection manipulation, precision measurements, and spectral engineering in …

The rising demand for high scanning accuracy and resolution in sensors for self-driving
vehicles has led to the rapid development of parallelization in light detection and ranging …

Microcombs have sparked a surge of applications over the past decade, ranging from optical
communications to metrology,,–. Despite their diverse deployment, most microcomb-based …

Convolutional neural networks, inspired by biological visual cortex systems, are a powerful
category of artificial neural networks that can extract the hierarchical features of raw data to …