Optical sensors are widely used for refractive index measurement in chemical, biomedical,
and food processing industries. Due to specific field distribution of the resonances, optical …

Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Implementing on-chip non-volatile photonic memories has been a long-term, yet elusive
goal. Photonic data storage would dramatically improve performance in existing computing …

The high index contrast silicon-on-insulator platform is the dominant CMOS compatible
platform for photonic integration. The successful use of silicon photonic chips in optical …

Quantum memory is essential for the development of many devices in quantum information
processing, including a synchronization tool that matches various processes within a …

This book sets out to build bridges between the domains of photonic device physics and
neural networks, providing a comprehensive overview of the emerging field of" …

Recently, there has been tremendous interest in excitable optoelectronic devices and in
particular excitable semiconductor lasers that could potentially enable unconventional …

Although high-speed all-optical switches are expected to replace their electrical
counterparts in information processing, their relatively large size and power consumption …

Metasurfaces precisely control the amplitude, polarization and phase of light, with
applications spanning imaging, sensing, modulation and computing. Three crucial …

Inspired by the great success of fiber optics in ultrafast data transmission, photonic
computing is being extensively studied as an alternative to replace or hybridize electronic …