Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Memristors in electronics have shown the potential for a range of applications, ranging from
circuit elements to neuromorphic computing. In recent years, the ability to vary the …

Electronically reprogrammable photonic circuits based on phase-change chalcogenides
present an avenue to resolve the von-Neumann bottleneck; however, implementation of …

Optical phase shifters constitute the fundamental building blocks that enable programmable
photonic integrated circuits (PICs)—the cornerstone of on-chip classical and quantum …

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

Optical neural networks (ONNs), enabling low latency and high parallel data processing
without electromagnetic interference, have become a viable player for fast and energy …

The burgeoning of artificial intelligence has brought great convenience to people's lives as
large-scale computational models have emerged. Artificial intelligence-related applications …

Wavelength and polarization are two fundamental properties of light within which
information can be encoded and (de) multiplexed. While wavelength-selective systems have …

Key to recent successes in the field of artificial intelligence (AI) has been the ability to train a
growing number of parameters which form fixed connectivity matrices between layers of …

There is now a deep interest in actively reconfigurable nanophotonics as they will enable
the next generation of optical devices. Of the various alternatives being explored for …