activity
20142024
most citedPhotonics for artificial intelligence and neuromorphic computing

1.7k citations · 4k across the 27 of their papers we have counts for

collaborators
Showing 2019Show all

8 papers · 1 filter

physics.app-ph2019

Microresonator-enhanced, Waveguide-coupled Emission from Silicon Defect Centers for Superconducting Optoelectronic Networks

A. N. Tait, S. M. Buckley, A. N. McCaughan +4

Superconducting optoelectronic networks could achieve scales unmatched in hardware-based neuromorphic computing. After summarizing recent progress in this area, we report new resul…

physics.app-ph2019★ 42 cited

Optimization of photoluminescence from W centers in silicon-on-insulator

Sonia M. Buckley, Alex N. Tait, Galan Moody +7

W centers are trigonal defects generated by self-ion implantation in silicon that exhibit photoluminescence at 1.218 m. We have shown previously that they can be used in wavegui…

physics.app-ph2019★ 27 cited

Programmable Silicon Photonic Optical Thresholder

Chaoran Huang, Thomas Ferreira de Lima, Aashu Jha +4

We experimentally demonstrate an all-optical programmable thresholder on a silicon photonic circuit. By exploiting the nonlinearities in a resonator-enhanced Mach-Zehnder interfero…

physics.app-ph2019★ 56 cited

Noise Analysis of Photonic Modulator Neurons

Thomas Ferreira de Lima, Alexander N. Tait, Hooman Saeidi +5

Neuromorphic photonics relies on efficiently emulating analog neural networks at high speeds. Prior work showed that transducing signals from the optical to the electrical domain a…

eess.SP2019★ 247 cited

Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

Viraj Bangari, Bicky A. Marquez, Heidi B. Miller +6

Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer vision and natural langu…

physics.app-ph2019★ 1 cited

ITO-based Electro-absorption Modulator for Photonic Neural Activation Function

Rubab Amin, Jonathan George, Shuai Sun +8

Recently integrated optics has become an intriguing platform for implementing machine learning algorithms and inparticular neural networks. Integrated photonic circuits can straigh…

physics.app-ph2019★ 1 cited

An ultrahigh-impedance superconducting thermal switch for interfacing superconductors to semiconductors and optoelectronics

A. N. McCaughan, V. B. Verma, S. Buckley +5

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 need to operate at c…

physics.app-ph2019★ 21 cited

Demonstration of multivariate photonics: blind dimensionality reduction with analog integrated photonics

Alexander N. Tait, Philip Y. Ma, Thomas Ferreira de Lima +5

Multi-antenna radio front-ends generate a multi-dimensional flood of information, most of which is partially redundant. Redundancy is eliminated by dimensionality reduction, but co…