118 citations · 259 across the 11 of their papers we have counts for
11 papers
Reaching the intrinsic performance limits of superconducting nanowire single-photon detectors up to 0.1 mm wide
Kristen M. Parzuchowski, Eli Mueller, Bakhrom G. Oripov +13
Superconducting nanowire single-photon detectors (SNSPDs) combine high detection efficiency, low noise, and excellent timing resolution, making them a leading platform for photon-c…
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…
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…
Large Microwave Inductance of Granular Boron-Doped Diamond Superconducting Films
Bakhrom Oripov, Dinesh Kumar, Cougar Garcia +4
Boron-doped diamond granular thin films are known to exhibit superconductivity with an optimal critical temperature of Tc = 7.2K. Here we report the measured complex surface impeda…
Time-dependent Ginzburg-Landau treatment of RF Magnetic Vortices in Superconductors: Vortex-Semiloops in a Spatially Nonuniform Magnetic Field
Bakhrom Oripov, Steven Anlage
We apply time-dependent Ginzburg Landau (TDGL) numerical simulations to study the finite frequency electrodynamics of superconductors subjected to intense rf magnetic field. Much r…
High Frequency Nonlinear Response of Superconducting Cavity-Grade Nb surfaces
Bakhrom Oripov, Thomas Bieler, Gianluigi Ciovati +9
Nb Superconducting Radio-Frequency (SRF) cavities are observed to break down and lose their high-Q superconducting properties at accelerating gradients below the limits imposed by…