activity
20192025
most citedOptimization of photoluminescence from W centers in silicon-on-insulator

42 citations · 72 across the 9 of their papers we have counts for

collaborators

9 papers

cs.ET2025★ 18 cited

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…

cs.NE2024

Relating Superconducting Optoelectronic Networks to Classical Neurodynamics

Jeffrey M. Shainline, Bryce A. Primavera, Ryan O'Loughlin

The circuits comprising superconducting optoelectronic synapses, dendrites, and neurons are described by numerically cumbersome and formally opaque coupled differential equations.…

physics.app-ph2023

Programmable Superconducting Optoelectronic Single-Photon Synapses with Integrated Multi-State Memory

Bryce A. Primavera, Saeed Khan, Richard P. Mirin +2

The co-location of memory and processing is a core principle of neuromorphic computing. A local memory device for synaptic weight storage has long been recognized as an enabling el…

physics.app-ph2023

Monolithic Integration of Superconducting-Nanowire Single-Photon Detectors with Josephson Junctions for Scalable Single-photon Sensing

Saeed Khan, Bryce A. Primavera, Richard P. Mirin +2

We demonstrate superconducting single-photon detectors that integrate signals locally at each pixel. This capability is realized by the monolithic integration of superconducting-na…

cs.NE2022

Phenomenological Model of Superconducting Optoelectronic Loop Neurons

Jeffrey M. Shainline, Bryce A. Primavera, Saeed Khan

Superconducting optoelectronic loop neurons are a class of circuits potentially conducive to networks for large-scale artificial cognition. These circuits employ superconducting co…

physics.app-ph2022

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…

cs.NE2021★ 12 cited

An active dendritic tree can mitigate fan-in limitations in superconducting neurons

Bryce A. Primavera, Jeffrey M. Shainline

Superconducting electronic circuits have much to offer with regard to neuromorphic hardware. Superconducting quantum interference devices (SQUIDs) can serve as an active element to…

cs.ET2021

Considerations for neuromorphic supercomputing in semiconducting and superconducting optoelectronic hardware

Bryce A. Primavera, Jeffrey M. Shainline

Any large-scale spiking neuromorphic system striving for complexity at the level of the human brain and beyond will need to be co-optimized for communication and computation. Such…

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…