184 citations · 1.1k across the 33 of their papers we have counts for
33 papers
Scaling of hardware-compatible perturbative training algorithms
Bakhrom G. Oripov, Andrew Dienstfrey, Adam N. McCaughan +1
In this work, we explore the capabilities of multiplexed gradient descent (MGD), a scalable and efficient perturbative zeroth-order training method for estimating the gradient of a…
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…
Machine Learning-powered Compact Modeling of Stochastic Electronic Devices using Mixture Density Networks
Jack Hutchins, Shamiul Alam, Dana S. Rampini +3
The relentless pursuit of miniaturization and performance enhancement in electronic devices has led to a fundamental challenge in the field of circuit design and simulation: how to…
A superconducting-nanowire single-photon camera with 400,000 pixels
Bakhrom G. Oripov, Dana S. Rampini, Jason Allmaras +4
For the last 50 years, superconducting detectors have offered exceptional sensitivity and speed for detecting faint electromagnetic signals in a wide range of applications. These d…
Cryogenic Reconfigurable Logic with Superconducting Heater Cryotron: Enhancing Area Efficiency and Enabling Camouflaged Processors
Shamiul Alam, Dana S. Rampini, Bakhrom G. Oripov +2
Superconducting electronics are among the most promising alternatives to conventional CMOS technology thanks to the ultra-fast speed and ultra-high energy efficiency of the superco…
Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation
Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh +3
We present multiplexed gradient descent (MGD), a gradient descent framework designed to easily train analog or digital neural networks in hardware. MGD utilizes zero-order optimiza…
All optical operation of a superconducting photonic interface
Frederik Thiele, Thomas Hummel, Adam N. McCaughan +7
Advanced electro-optic processing combines electrical control with optical modulation and detection. For quantum photonic applications these processes must be carried out at the si…
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…
The thermally-coupled imager: A scalable readout architecture for superconducting nanowire single photon detectors
Adam N. McCaughan, Yao Zhai, Boris Korzh +4
Although superconducting nanowire single-photon detectors (SNSPDs) are a promising technology for quantum optics, metrology, and astronomy, they currently lack a readout architectu…
Impedance-matched differential superconducting nanowire detectors
Marco Colangelo, Boris Korzh, Jason P. Allmaras +24
Superconducting nanowire single-photon detectors (SNSPDs) are the highest performing photon-counting technology in the near-infrared (NIR). Due to delay-line effects, large area SN…
PHIDL: Python CAD layout and geometry creation for nanolithography
A. N. McCaughan, A. M. Tait, S. M. Buckley +4
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 progr…
Integrated-photonic characterization of single-photon detectors for use in neuromorphic synapses
Sonia M. Buckley, Alexander N. Tait, Jeffrey Chiles +5
We show several techniques for using integrated-photonic waveguide structures to simultaneously characterize multiple waveguide-integrated superconducting-nanowire detectors with a…
Microring resonator-coupled photoluminescence from silicon W~centers
A. N. Tait, S. M. Buckley, J. Chiles +6
Defect centers are promising candidates for waveguide-integrated silicon light sources. We demonstrate microresonator- and waveguide-coupled photoluminescence from silicon W~center…
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…
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…
Bridging the gap between nanowires and Josephson junctions: a superconducting device based on controlled fluxon transfer across nanowires
Emily Toomey, Murat Onen, Marco Colangelo +3
The basis for superconducting electronics can broadly be divided between two technologies: the Josephson junction and the superconducting nanowire. While the Josephson junction (JJ…
Superconducting Optoelectronic Neurons I: General Principles
Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan +3
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 t…
Superconducting Optoelectronic Neurons II: Receiver Circuits
Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan +5
Circuits using superconducting single-photon detectors and Josephson junctions to perform signal reception, synaptic weighting, and integration are investigated. The circuits conve…
Superconducting Optoelectronic Neurons V: Networks and Scaling
Jeffrey M. Shainline, Jeff Chiles, Sonia M. Buckley +3
Networks of superconducting optoelectronic neurons are investigated for their near-term technological potential and long-term physical limitations. Networks with short average path…
Superconducting Optoelectronic Neurons IV: Transmitter Circuits
Jeffrey M. Shainline, Adam N. McCaughan, Sonia M. Buckley +2
A superconducting optoelectronic neuron will produce a small current pulse upon reaching threshold. We present an amplifier chain that converts this small current pulse to a voltag…
Circuit designs for superconducting optoelectronic loop neurons
Jeffrey M. Shainline, Sonia M. Buckley, Adam N. McCaughan +3
Optical communication achieves high fanout and short delay advantageous for information integration in neural systems. Superconducting detectors enable signaling with single photon…
Superconducting Optoelectronic Neurons III: Synaptic Plasticity
Jeffrey M. Shainline, Adam N. McCaughan, Sonia M. Buckley +5
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 synap…
A compact superconducting nanowire memory element operated by nanowire cryotrons
Qing-Yuan Zhao, Emily A. Toomey, Brenden A. Butters +4
A superconducting loop stores persistent current without any ohmic loss, making it an ideal platform for energy efficient memories. Conventional superconducting memories use an arc…
Frequency pulling and mixing of relaxation oscillations in superconducting nanowires
Emily Toomey, Qing-Yuan Zhao, Adam N. McCaughan +1
Many superconducting technologies such as rapid single flux quantum computing (RSFQ) and superconducting quantum interference devices (SQUIDs) rely on the modulation of nonlinear d…