papers

Publications (5)

physics.optics2014

On-Chip Detection of Entangled Photons by Scalable Integration of Single-Photon Detectors

Faraz Najafi, Jacob Mower, Nicholas Harris +8

Photonic integrated circuits (PICs) have emerged as a scalable platform for complex quantum technologies using photonic and atomic systems. A central goal has been to integrate pho…

cs.ET2022

Single chip photonic deep neural network with accelerated training

Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov +6

As deep neural networks (DNNs) revolutionize machine learning, energy consumption and throughput are emerging as fundamental limitations of CMOS electronics. This has motivated a s…

physics.optics2019

A Recurrent Ising Machine in a Photonic Integrated Circuit

Mihika Prabhu, Charles Roques-Carmes, Yichen Shen +10

Conventional computing architectures have no known efficient algorithms for combinatorial optimization tasks, which are encountered in fundamental areas and real-world practical pr…

cs.CL2024

Enhancing Embedding Performance through Large Language Model-based Text Enrichment and Rewriting

Nicholas Harris, Anand Butani, Syed Hashmy

Embedding models are crucial for various natural language processing tasks but can be limited by factors such as limited vocabulary, lack of context, and grammatical errors. This p…

cs.LG2022

Adaptive Block Floating-Point for Analog Deep Learning Hardware

Ayon Basumallik, Darius Bunandar, Nicholas Dronen +6

Analog mixed-signal (AMS) devices promise faster, more energy-efficient deep neural network (DNN) inference than their digital counterparts. However, recent studies show that DNNs…