Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …

Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …

A general-purpose photonic processor can be built integrating a silicon photonic
programmable core in a technology stack comprising an electronic monitoring and …

In optical communication systems, fibre nonlinearity is the major obstacle in increasing the
transmission capacity. Typically, digital signal processing techniques and hardware are …

There is an ever-growing demand for artificial intelligence. Optical processors, which
compute with photons instead of electrons, can fundamentally accelerate the development …

Neuromorphic photonics has recently emerged as a promising hardware accelerator, with
significant potential speed and energy advantages over digital electronics for machine …

The key drivers of 6G result not only from the challenges and performance limits that 5G
presents but also from the technology-driven paradigm shift and the continuous evolution of …

With the global commercialization of the fifth-generation (5G) network, many countries,
including China, USA, European countries, Japan, and Korea, have started exploring 6G …

Optical information processing and computing can potentially offer enhanced performance,
scalability and energy efficiency. However, achieving nonlinearity—a critical component of …

It has long been known that photonic communication can alleviate the data movement
bottlenecks that plague conventional microelectronic processors. More recently, there has …