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Demonstration of Superconducting Optoelectronic Single-Photon Synapses
Saeed Khan, Bryce A. Primavera, Jeff Chiles +10
Superconducting optoelectronic hardware is being explored as a path towards artificial spiking neural networks with unprecedented scales of complexity and computational ability. Su…
Design Automation of Photonic Resonator Weights
Thomas Ferreira de Lima, Eli A. Doris, Simon Bilodeau +8
Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high speed, analog systems…
Silicon photonic-electronic neural network for fibre nonlinearity compensation
Chaoran Huang, Shinsuke Fujisawa, Thomas Ferreira de Lima +12
In optical communication systems, fibre nonlinearity is the major obstacle in increasing the transmission capacity. Typically, digital signal processing techniques and hardware are…
A Laser Spiking Neuron in a Photonic Integrated Circuit
Mitchell A. Nahmias, Hsuan-Tung Peng, Thomas Ferreira de Lima +4
There has been a recent surge of interest in the implementation of linear operations such as matrix multipications using photonic integrated circuit technology. However, these appr…
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…
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…
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…
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…
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…
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…
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…
A silicon photonic modulator neuron
Alexander N. Tait, Thomas Ferreira de Lima, Mitchell A. Nahmias +4
There has been a recently renewed interest in neuromorphic photonics, a field promising to access pivotal and unexplored regimes of machine intelligence. Progress has been made on…
Neuromorphic photonics with electro-absorption modulators
Jonathan George, Armin Mehrabian, Rubab Amin +7
Photonic neural networks benefit from both the high channel capacity- and the wave nature of light acting as an effective weighting mechanism through linear optics. The neuron's ac…