activity
20142022
most citedLaser Chimeras as a paradigm for multi-stable patterns in complex systems

189 citations · 621 across the 13 of their papers we have counts for

collaborators

13 papers

quant-ph2022

Photonic Quantum Computing For Polymer Classification

Alexandrina Stoyanova, Taha Hammadia, Arno Ricou +1

We present a hybrid classical-quantum approach to the binary classification of polymer structures. Two polymer classes visual (VIS) and near-infrared (NIR) are defined based on the…

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.ET2021★ 163 cited

Tutorial: Photonic Neural Networks in Delay Systems

D. Brunner, B. Penkovsky, B. A. Marquez +3

Photonic delay systems have revolutionized the hardware implementation of Recurrent Neural Networks and Reservoir Computing in particular. The fundamental principles of Reservoir C…

eess.SP2020

In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications

Bogdan Penkovsky, Marc Bocquet, Tifenn Hirtzlin +5

The advent of deep learning has considerably accelerated machine learning development. The deployment of deep neural networks at the edge is however limited by their high memory an…

cs.CR2019

Optical Proof of Work

Michael Dubrovsky, Marshall Ball, Bogdan Penkovsky

Most cryptocurrencies rely on Proof-of-Work (PoW) "mining" for resistance to Sybil and double-spending attacks, as well as a mechanism for currency issuance. Hashcash PoW has succe…

cs.ET2019

Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction

Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein +5

One of the most exciting applications of Spin Torque Magnetoresistive Random Access Memory (ST-MRAM) is the in-memory implementation of deep neural networks, which could allow impr…