1 citations · 1 across the 3 of their papers we have counts for
3 papers
Compensation of anisotropy in spin-Hall devices for neuromorphic applications
Pankaj Sethi, Dédalo Sanz-Hernández, Florian Godel +6
Spintronic nano-oscillators with reduced non-linearity could offer key benefits for realizing neuromorphic applications such as spike-based neurons and frequency multiplexing in ne…
Classification of multi-frequency RF signals by extreme learning, using magnetic tunnel junctions as neurons and synapses
Nathan Leroux, Danijela Marković, Dédalo Sanz-Hernández +8
Extracting information from radiofrequency (RF) signals using artificial neural networks at low energy cost is a critical need for a wide range of applications from radars to healt…
Quantum reservoir neural network implementation on coherently coupled quantum oscillators
Julien Dudas, Baptiste Carles, Erwan Plouet +3
Quantum reservoir computing is a promising approach for quantum neural networks, capable of solving hard learning tasks on both classical and quantum input data. However, current a…