Matrix computation, as a fundamental building block of information processing in science
and technology, contributes most of the computational overheads in modern signal …

Nanophotonics has garnered intensive attention due to its unique capabilities in molding the
flow of light in the subwavelength regime. Metasurfaces (MSs) and photonic integrated …

The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

Advances in photonic integrated circuits have recently enabled electrically reconfigurable
optical systems that can implement universal linear optics transformations on spatial mode …

Reconfigurability of photonic integrated circuits (PICs) has become increasingly important
due to the growing demands for electronic–photonic systems on a chip driven by emerging …

The traditional ways of tuning a silicon photonic network are mainly based on the thermo-
optic effect or the free carrier dispersion. The drawbacks of these methods are the volatile …

Programmable photonics have the potential to completely transform a range of emerging
applications, including optical computing, optical signal processing, light detecting and …

Recent advances in silicon photonic chips have made huge progress in optical computing
owing to their flexibility in the reconfiguration of various tasks. Its deployment of neural …

On-chip nanophotonic devices are a class of devices capable of controlling light on a chip to
realize performance advantages over ordinary building blocks of integrated photonics …

Programmable photonic integrated circuits offer exciting opportunities for optoelectronic
signal processing, computing and communications in a number of emerging applications in …