Optical computing: Status and perspectives

NL Kazanskiy, MA Butt, SN Khonina - Nanomaterials, 2022 - mdpi.com
For many years, optics has been employed in computing, although the major focus has been
and remains to be on connecting parts of computers, for communications, or more …

Electronic-photonic arithmetic logic unit for high-speed computing

Z Ying, C Feng, Z Zhao, S Dhar, H Dalir, J Gu… - Nature …, 2020 - nature.com
The past two decades have witnessed the stagnation of the clock speed of microprocessors
followed by the recent faltering of Moore's law as nanofabrication technology approaches its …

Recent advances in integrated optical directed logic operations for high performance optical computing: a review

C Qiu, H Xiao, L Wang, Y Tian - Frontiers of Optoelectronics, 2022 - Springer
Optical directed logic (DL) is a novel logic operation scheme that employs electrical signals
as operands to control the working states of optical switches to perform the logic functions …

Integrated non-volatile plasmonic switches based on phase-change-materials and their application to plasmonic logic circuits

RR Ghosh, A Dhawan - Scientific reports, 2021 - nature.com
Integrated photonic devices or circuits that can execute both optical computation and optical
data storage are considered as the building blocks for photonic computations beyond the …

Inverse design of Pancharatnam–Berry phase metasurfaces for all-optical image edge detection

D Xu, H Yang, W Xu, W Zhang, K Zeng… - Applied Physics Letters, 2022 - pubs.aip.org
In recent decades, optical analog computing has attracted considerable interest in image
processing and optical engineering. However, the optical analog computing system …

SqueezeLight: Towards scalable optical neural networks with multi-operand ring resonators

J Gu, C Feng, Z Zhao, Z Ying, M Liu… - … , Automation & Test …, 2021 - ieeexplore.ieee.org
Optical neural networks (ONNs) have demonstrated promising potentials for next-generation
artificial intelligence acceleration with ultra-low latency, high bandwidth, and low energy …

Light in ai: toward efficient neurocomputing with optical neural networks—a tutorial

J Gu, C Feng, H Zhu, RT Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the post Moore's era, conventional electronic digital computing platforms have
encountered escalating challenges to support massively parallel and energy-hungry …

Wavelength-division-multiplexing (WDM)-based integrated electronic–photonic switching network (EPSN) for high-speed data processing and transportation: High …

C Feng, Z Ying, Z Zhao, J Gu, DZ Pan, RT Chen - Nanophotonics, 2020 - degruyter.com
Integrated photonics offers attractive solutions for realizing combinational logic for high-
performance computing. The integrated photonic chips can be further optimized using …

Toward High‐Speed and Energy‐Efficient Computing: A WDM‐Based Scalable On‐Chip Silicon Integrated Optical Comparator

C Feng, Z Ying, Z Zhao, J Gu, DZ Pan… - Laser & Photonics …, 2021 - Wiley Online Library
Integrated photonics has shown extraordinary potential in optical computing. Various optical
computing modules have been investigated, among which the digital comparator is a …

SqueezeLight: A multi-operand ring-based optical neural network with cross-layer scalability

J Gu, C Feng, H Zhu, Z Zhao, Z Ying… - … on Computer-Aided …, 2022 - ieeexplore.ieee.org
Optical neural networks (ONNs) are promising hardware platforms for next-generation
artificial intelligence acceleration with ultrafast speed and low-energy consumption …