Optical computing and optical neural network have gained increasing attention in recent
years because of their potential advantages of parallel processing at the speed of light and …

Recent breakthroughs in deep learning have ushered in an essential tool for optics and
photonics, recurring in various applications of material design, system optimization, and …

Artificial intelligence (AI) has taken breathtaking leaps forward in recent years, evolving into
a strategic technology for pioneering the future. The growing demand for computing power …

Reconfigurable silicon photonic devices are widely used in numerous emerging fields such
as optical interconnects, photonic neural networks, quantum computing, and microwave …

Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …

In the modern financial industry system, the structure of products has become more and
more complex, and the bottleneck constraint of classical computing power has already …

The Kerr nonlinearity in two-dimensional (2D) nanomaterials is emerging as an appealing
and intriguing research area due to their prominent light processing, modulation, and …

To increase the storage capacity in holographic data storage (HDS), the information to be
stored is encoded into a complex amplitude. Fast and accurate retrieval of amplitude and …

Understanding the pathway of the interaction of matter and photon is essential for
optoelectronic and photonic applications. Spatial self-phase modulation (SSPM) of light in …

Realizing a multifunctional integrated photonic platform is one of the goals for future optical
information processing, which usually requires large size to realize due to multiple …