403 citations · 1.7k across the 37 of their papers we have counts for
37 papers
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…
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…
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…
Roadmap on Integrated Quantum Photonics
Galan Moody, Volker J. Sorger, Daniel J. Blumenthal +52
Integrated photonics is at the heart of many classical technologies, from optical communications to biosensors, LIDAR, and data center fiber interconnects. There is strong evidence…
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…
Low-loss, high-bandwidth fiber-to-chip coupling using capped adiabatic tapered fibers
Saeed Khan, Sonia M. Buckley, Jeff Chiles +3
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 co…