activity
20162023
most citedReprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

356 citations · 720 across the 8 of their papers we have counts for

collaborators

8 papers

physics.optics2023

Scalable Low-latency Optical Phase Sensor Array

Zhanghao Sun, Sunil Pai, Carson Valdez +5

Optical phase measurement is critical for many applications and traditional approaches often suffer from mechanical instability, temporal latency, and computational complexity. In…

physics.optics2022★ 5 cited

Scalable and self-correcting photonic computation using balanced photonic binary tree cascades

Sunil Pai, Olav Solgaard, Shanhui Fan +1

Programmable unitary photonic networks that interfere hundreds of modes are emerging as a key technology in energy-efficient sensing, machine learning, cryptography, and linear opt…

cs.ET2022★ 5 cited

Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency

Sunil Pai, Taewon Park, Marshall Ball +9

As blockchain technology and cryptocurrency become increasingly mainstream, ever-increasing energy costs required to maintain the computational power running these decentralized pl…

cs.ET2022★ 330 cited

Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks

Sunil Pai, Zhanghao Sun, Tyler W. Hughes +11

Neural networks are widely deployed models across many scientific disciplines and commercial endeavors ranging from edge computing and sensing to large-scale signal processing in d…

cs.ET2019★ 7 cited

Parallel fault-tolerant programming of an arbitrary feedforward photonic network

Sunil Pai, Ian A. D. Williamson, Tyler W. Hughes +4

Reconfigurable photonic mesh networks of tunable beamsplitter nodes can linearly transform -dimensional vectors representing input modal amplitudes of light for applications suc…

eess.SP2019★ 356 cited

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov +3

We introduce an electro-optic hardware platform for nonlinear activation functions in optical neural networks. The optical-to-optical nonlinearity operates by converting a small po…

math.AP2018★ 17 cited

Vanishing Viscosity Limit of the Navier-Stokes Equations to the Euler Equations for Compressible Fluid Flow with Vacuum

Yongcai Geng, Yachun Li, Shengguo Zhu

We establish the vanishing viscosity limit of the Navier-Stokes equations to the Euler equations for three-dimensional compressible isentropic flow in the whole space. It is shown…

physics.bio-ph2016

An In Vitro Nematic Model for Proliferating Cell Cultures

Sunil Pai, Nathan Loewke, Morgaine Green +4

Confluent populations of elongated cells give rise to ordered patterns seen in nematic phase liquid crystals. We correlate cell elongation and intercellular distance with intercell…