activity
20182024
most citedLarge-Scale Optical Neural Networks based on Photoelectric Multiplication

394 citations · 837 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2024★ 52 cited

Experimental Demonstration of Logical Magic State Distillation

Pedro Sales Rodriguez, John M. Robinson, Paul Niklas Jepsen +70

Realizing universal fault-tolerant quantum computation is a key goal in quantum information science. By encoding quantum information into logical qubits utilizing quantum error cor…

cs.ET2022★ 194 cited

Deep Learning with Coherent VCSEL Neural Networks

Zaijun Chen, Alexander Sludds, Ronald Davis +8

Deep neural networks (DNNs) are reshaping the field of information processing. With their exponential growth challenging existing electronic hardware, optical neural networks (ONNs…

cs.ET2022★ 2 cited

Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks

Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay +4

This paper analyzes the performance and energy efficiency of Netcast, a recently proposed optical neural-network architecture designed for edge computing. Netcast performs deep neu…

cs.ET2022

Single-Shot Optical Neural Network

Liane Bernstein, Alexander Sludds, Christopher Panuski +3

As deep neural networks (DNNs) grow to solve increasingly complex problems, they are becoming limited by the latency and power consumption of existing digital processors. For impro…

cs.ET2022★ 195 cited

Delocalized Photonic Deep Learning on the Internet's Edge

Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen +13

Advances in deep neural networks (DNNs) are transforming science and technology. However, the increasing computational demands of the most powerful DNNs limit deployment on low-pow…

cs.ET2020

Freely scalable and reconfigurable optical hardware for deep learning

Liane Bernstein, Alexander Sludds, Ryan Hamerly +3

As deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy and solve more complex problems. This trend has been enabled by an increase in available comp…

cs.ET2018★ 394 cited

Large-Scale Optical Neural Networks based on Photoelectric Multiplication

Ryan Hamerly, Liane Bernstein, Alexander Sludds +2

Recent success in deep neural networks has generated strong interest in hardware accelerators to improve speed and energy consumption. This paper presents a new type of photonic ac…