Photonics for artificial intelligence and neuromorphic computing
Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …
components on photonic integration platforms. Photonic integrated circuits have enabled …
Polariton condensates for classical and quantum computing
Polariton lasers emit coherent monochromatic light through a spontaneous emission
process. As a rare example of a system in which Bose–Einstein condensation and …
process. As a rare example of a system in which Bose–Einstein condensation and …
100,000-spin coherent Ising machine
Computers based on physical systems are increasingly anticipated to overcome the
impending limitations on digital computer performance. One such computer is a coherent …
impending limitations on digital computer performance. One such computer is a coherent …
[HTML][HTML] Recent advances in physical reservoir computing: A review
Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …
processing. It is derived from several recurrent neural network models, including echo state …
Physical reservoir computing—an introductory perspective
K Nakajima - Japanese Journal of Applied Physics, 2020 - iopscience.iop.org
Understanding the fundamental relationships between physics and its information-
processing capability has been an active research topic for many years. Physical reservoir …
processing capability has been an active research topic for many years. Physical reservoir …
Multilayer Reservoir Computing Based on Ferroelectric α‐In2Se3 for Hierarchical Information Processing
Dynamic physical systems such as reservoir computing (RC) architectures show a great
prospect in temporal information processing, whereas hierarchical information processing …
prospect in temporal information processing, whereas hierarchical information processing …
Photonic multiplexing techniques for neuromorphic computing
The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …
technologies have spurred extensive research in optical computing and optical neural …
All-optical neural network with nonlinear activation functions
Artificial neural networks (ANNs) have been widely used for industrial applications and have
played a more important role in fundamental research. Although most ANN hardware …
played a more important role in fundamental research. Although most ANN hardware …
Optical neural networks: progress and challenges
Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …
data resources, advanced algorithms, and high-performance electronic hardware. However …
Advances in photonic reservoir computing
G Van der Sande, D Brunner, MC Soriano - Nanophotonics, 2017 - degruyter.com
We review a novel paradigm that has emerged in analogue neuromorphic optical
computing. The goal is to implement a reservoir computer in optics, where information is …
computing. The goal is to implement a reservoir computer in optics, where information is …