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Nathnael S. Abebe

3 papers hereh-index 4450 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.ET2
  • cond-mat.supr-con1

identity via Semantic Scholar / OpenAlex

most citedExperimentally realized in situ backpropagation for deep learning in nanophotonic neural networks

330 citations · 335 across the 3 of their papers we have counts for

collaborators

3 papers

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…

cond-mat.supr-con2016

Sensing supercurrents using geometric effects

Adam N. McCaughan, Nathnael Abebe, Qing-Yuan Zhao +1

We describe a superconducting three-terminal device that uses a simple geometric effect known as current crowding to sense the flow of current and actuate a readout signal. The dev…

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