most citedITO-based Electro-absorption Modulator for Photonic Neural Activation Function

1 citations · 1 across the 2 of their papers we have counts for

collaborators

8 papers

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

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

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

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…

physics.app-ph20191 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

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…