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Search Publications by: Sonia Buckley (Fed)

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Displaying 1 - 25 of 27

NeuroBench: advancing neuromorphic computing through collaborative, fair and representative benchmarking

April 20, 2023
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sonia Buckley, Sander Bohte, Younes Bouhadjar, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason K. Eshraghian, Jeremy Forest, Steve Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddarth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos Michmizos, Dylan Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Sun Pao-Sheng, Melika Payvand, Christian-Gernot Pehle, Mihai Alexandru Petrovici, Cristoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens Schaefer, Andre van Schaik, Johannes Schemmel, Catherine Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig Vineyard, Bernard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddy
The field of neuromorphic computing holds great promise in terms of advancing computing efficiency and capabilities by following brain-inspired principles. However, the rich diversity of techniques employed in neuromorphic research has resulted in a lack

Photonic Online Learning: A Perspective

January 9, 2023
Sonia Buckley, Alexander Tait, Adam McCaughan, Bhavin Shastri
Neuromorphic systems promise to solve certain problems faster and with higher energy efficiency than traditional computing, by using the physics of the devices themselves for information processing. While initial results in photonic neuromorphic hardware

Single Photon Detectors and Metrology

October 26, 2022
Sonia Buckley, Michelle Stephens, John H. Lehman
For quantum applications, it is important to generate quantum states of light and detect them with extremely high efficiency. For future applications, it also important to do this at scale. This presents many engineering and metrology challenges. This

Demonstration of Superconducting Optoelectronic Single-Photon Synapses

October 6, 2022
Saeed Khan, Bryce Primavera, Jeff Chiles, Adam McCaughan, Sonia Buckley, Alexander Tait, Adriana Lita, John Biesecker, Anna Fox, David Olaya, Richard Mirin, Sae Woo Nam, Jeff Shainline
Superconducting optoelectronic hardware is being explored as a path towards artificial spiking neural networks with unprecedented scales of complexity and computational ability. Such hardware combines integrated-photonic components for few-photon, light

PHIDL: Python-based layout and geometry creation for nanolithography

September 27, 2021
Adam McCaughan, Alexander N. Tait, Sonia Buckley, Jeff Chiles, Jeff Shainline, Sae Woo Nam, Dylan M. Oh
Computer-aided design (CAD) has become a critical element in the creation of nanopatterned structures and devices. In particular, with the increased adoption of easy-to-learn programming languages like python, there has been a significant rise in the

Characterization of waveguide-integrated single-photon detectors using integratedphotonic structures

February 18, 2021
Sonia M. Buckley, Alexander N. Tait, Jeffrey T. Chiles, Adam N. McCaughan, Saeed Khan, Richard Mirin, Sae Woo Nam, Jeffrey M. Shainline
We show several techniques for using integrated-photonic waveguide structures to simultaneously characterize multiple waveguide-integrated superconducting-nanowire detectors with a single fiber input. We demonstrate structures for direct comparison of

Microresonator enhanced, waveguide coupled emission from silicon defect centers for superconducting optoelectronic networks

July 10, 2020
Alexander N. Tait, Sonia M. Buckley, Jeffrey M. Shainline, Adam N. McCaughan, Jeffrey T. Chiles, Sae Woo Nam, Richard P. Mirin
Superconducting optoelectronic networks could achieve scales unmatched in hardware-based neuromorphic computing. After summarizing recent progress in this area, we report new results in cryogenic silicon photonic light sources, components central to these

Microring resonator-coupled photoluminescence from silicon W centers

July 10, 2020
Alexander N. Tait, Sonia M. Buckley, Jeffrey T. Chiles, Adam N. McCaughan, Sae Woo Nam, Richard P. Mirin, Jeffrey M. Shainline
Defect centers are promising candidates for waveguide-integrated silicon light sources. We demonstrate microresonator- and waveguide-coupled photoluminescence from silicon W centers. Observations indicate that wavelengths that are on-resonance with

Superconducting microwire detectors with single-photon sensitivity in the near-infrared

June 16, 2020
Jeffrey T. Chiles, Sonia M. Buckley, Adriana E. Lita, Varun B. Verma, Jeffrey M. Shainline, Richard P. Mirin, Sae Woo Nam, Jason Allmaras, Boris Korzh, Emma Wollman, Matthew Shaw
We report on the fabrication and characterization of single-photon-sensitive WSi superconducting detectors with wire widths from 1 υm to 3 υm. The devices achieve saturated internal detection efficiency at 1.55 υm wavelength and exhibit maximum count rates

Optimization of photoluminescence from W centers in silicon-on-insulator for waveguide-coupled sources

May 13, 2020
Sonia M. Buckley, Alexander N. Tait, Galan Moody, Kevin L. Silverman, Sae Woo Nam, Richard P. Mirin, Jeffrey M. Shainline, Stephen Olson, Joshua Hermann, Satyvalu Papa Rao
W centers are trigonal defects generated by self-ion implantation in silicon that exhibit photoluminescence at 1.218\textmu m. We have shown previously that they can be used in waveguide-integrated all-silicon light-emitting diode sources. Here we optimize

Low-loss, high-bandwidth fiber-to-chip coupling using capped adiabatic tapered fibers

May 1, 2020
Saeed Khan, Jeff Shainline, Richard Mirin, Sae Woo Nam, Sonia Buckley, Jeff Chiles
We demonstrate adiabatically tapered fibers terminating in sub-micron tips that are clad with a higher-index material for coupling to an on-chip waveguide. This cladding enables coupling to a high-index waveguide without losing light to the buried oxide. A

Design of superconducting optoelectronic networks for neuromorphic computing

November 6, 2018
Sonia Buckley, Adam McCaughan, Jeff Chiles, Richard Mirin, Sae Woo Nam, Jeff Shainline
We have previously proposed a novel hardware platform for neuromorphic computing based on superconducting optoelectronics that presents many of the features necessary for information processing in the brain. Here we discuss the design and training of

Circuit designs for superconducting optoelectronic loop neurons

October 12, 2018
Jeffrey M. Shainline, Adam N. McCaughan, Jeffrey T. Chiles, Richard P. Mirin, Sae Woo Nam, Sonia M. Buckley
We present designs of superconducting optoelectronic neurons based on superconducting single- photon detectors, Josephson junctions, semiconductor light sources, and multi-planar dielectric waveguides. The neurons send few-photon signals to synaptic

Superconducting optoelectronic networks III: synaptic plasticity

July 5, 2018
Jeffrey M. Shainline, Adam N. McCaughan, Sonia M. Buckley, Christine A. Donnelly, Manuel C. Castellanos Beltran, Michael L. Schneider, Richard P. Mirin, Sae Woo Nam
As a means of dynamically reconfiguring the synaptic weight of a superconducting optoelectronic loop neuron, a superconducting flux storage loop is inductively coupled to the synaptic current bias of the neuron. A standard flux memory cell is used to

Superconducting optoelectronic networks V: networks and scaling

May 17, 2018
Jeffrey M. Shainline, Jeffrey T. Chiles, Sonia M. Buckley, Adam N. McCaughan, Richard P. Mirin, Sae Woo Nam
Networks of superconducting optoelectronic neurons are investigated for their near-term technological potential and long-term physical limitations. Networks with short average path length, high clustering coefficient, and power-law degree distribution are

Superconducting optoelectronic networks IV: transmitter circuits

May 9, 2018
Jeffrey M. Shainline, Adam N. McCaughan, Sonia M. Buckley, Richard P. Mirin, Sae Woo Nam, Amir Jafari-Salim
A superconducting optoelectronic neuron will produce a small current pulse upon reaching threshold. We present an amplifier chain which converts this small current pulse to a voltage pulse sufficient to produce light from a semiconductor diode. This light

Superconducting optoelectronic networks I: general principles

April 6, 2018
Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan, Jeffrey T. Chiles, Richard P. Mirin, Sae Woo Nam
The design of neural hardware is informed by the prominence of differentiated processing and information integration in cognitive systems. The central role of communication leads to the principal assumption of the hardware platform: signals between neurons

Superconducting optoelectronic networks II: receiver circuits

April 6, 2018
Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan, Manuel C. Castellanos Beltran, Christine A. Donnelly, Michael L. Schneider, Richard P. Mirin, Sae Woo Nam
Circuits using superconducting single-photon detectors and Josephson junctions to perform signal reception, synaptic weighting, and integration are investigated. The circuits convert photon-detection events into flux quanta, the number of which is

All-silicon light-emitting diodes waveguide-integrated with superconducting single-photon detectors

October 2, 2017
Sonia M. Buckley, Jeffrey T. Chiles, Adam N. McCaughan, Galan Moody, Kevin L. Silverman, Martin J. Stevens, Richard P. Mirin, Sae Woo Nam, Jeffrey M. Shainline
An on-chip, silicon-compatible light source has long been pursued for telecommunications, with limited success. However, for integrated systems utilizing superconducting detectors, cryogenic operation is already required. This allows these systems to