The tremendous growth of data traffic has spurred a rapid evolution of optical
communications for a higher data transmission capacity. Next-generation fiber-optic …

Digital accelerators in the latest generation of complementary metal–oxide–semiconductor
processes support, multiply, and accumulate (MAC) operations at energy efficiencies …

Deep neural networks (DNNs) consist of layers of neurons interconnected by synaptic
weights. A high bit-precision in weights is generally required to guarantee high accuracy in …

The explosion of artificial intelligence and machine-learning algorithms, connected to the
exponential growth of the exchanged data, is driving a search for novel application-specific …

By virtue of the well‐developed micro‐and nanofabrication technologies and rapidly
progressing surface functionalization strategies, silicon‐based devices have been widely …

Microring resonators (MRRs) are reconfigurable optical elements ubiquitous in photonic
integrated circuits. Owing to its high sensitivity, MRR control is very challenging, especially …

In the past decade, there has been tremendous progress in integrating chalcogenide phase-
change materials (PCMs) on the silicon photonic platform for non-volatile memory to …

Deep learning has led to unprecedented successes in solving some very difficult problems
in domains such as computer vision, natural language processing, and general pattern …

This paper presents the performance analysis of a phase error-and loss-tolerant multiport
field-programmable MZI-based structure for optical neural networks (ONNs). Compared to …

Implementing any linear transformation matrix through the optical channels of an on-chip
reconfigurable multiport interferometer has been emerging as a promising technique for …