Photonic multiplexing techniques for neuromorphic computing

Y Bai, X Xu, M Tan, Y Sun, Y Li, J Wu, R Morandotti… - …, 2023 - degruyter.com
The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

Research progress in optical neural networks: theory, applications and developments

J Liu, Q Wu, X Sui, Q Chen, G Gu, L Wang, S Li - PhotoniX, 2021 - Springer
With the advent of the era of big data, artificial intelligence has attracted continuous attention
from all walks of life, and has been widely used in medical image analysis, molecular and …

Integrated photonics packaging: challenges and opportunities

L Ranno, P Gupta, K Gradkowski, R Bernson… - ACS …, 2022 - ACS Publications
Packaging of photonic integrated circuit (PIC) chips is an essential and critical step before
they can be integrated into functional optoelectronic systems. Photonic packaging is …

Photonic neural networks: A survey

L De Marinis, M Cococcioni, P Castoldi… - Ieee …, 2019 - ieeexplore.ieee.org
Photonic solutions are today a mature industrial reality concerning high speed, high
throughput data communication and switching infrastructures. It is still a matter of …

Phase coupling synchronization of FHN neurons connected by a Josephson junction

Y Zhang, CN Wang, J Tang, J Ma, GD Ren - Science China Technological …, 2020 - Springer
A variety of nonlinear circuits can be tamed to reproduce the main dynamical properties in
neural activities for biological neurons while designing reliable artificial synapses for …

SuperMind: a survey of the potential of superconducting electronics for neuromorphic computing

M Schneider, E Toomey, G Rowlands… - Superconductor …, 2022 - iopscience.iop.org
Neuromorphic computing is a broad field that uses biological inspiration to address
computing design. It is being pursued in many hardware technologies, both novel and …

Superconducting optoelectronic single-photon synapses

S Khan, BA Primavera, J Chiles, AN McCaughan… - Nature …, 2022 - nature.com
Superconducting optoelectronic hardware could be used to create large-scale and
computationally powerful artificial spiking neural networks. The approach combines …

Photonic online learning: a perspective

SM Buckley, AN Tait, AN McCaughan, BJ Shastri - Nanophotonics, 2023 - degruyter.com
Emerging neuromorphic hardware promises to solve certain problems faster and with higher
energy efficiency than traditional computing by using physical processes that take place at …

Cryogenic operation of silicon photonic modulators based on the DC Kerr effect

U Chakraborty, J Carolan, G Clark, D Bunandar… - Optica, 2020 - opg.optica.org
Reliable operation of photonic integrated circuits at cryogenic temperatures would enable
new capabilities for emerging computing platforms, such as quantum technologies and low …

A superconducting thermal switch with ultrahigh impedance for interfacing superconductors to semiconductors

AN McCaughan, VB Verma, SM Buckley… - Nature …, 2019 - nature.com
A number of current approaches to quantum and neuromorphic computing use
superconductors as the basis of their platform or as a measurement component, and will …