175 citations · 407 across the 14 of their papers we have counts for
17 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…
Convolutional Neural Networks with Radio-Frequency Spintronic Nano-Devices
Nathan Leroux, Arnaud De Riz, Dédalo Sanz-Hernández +3
Convolutional neural networks are state-of-the-art and ubiquitous in modern signal processing and machine vision. Nowadays, hardware solutions based on emerging nanodevices are des…
2022 Roadmap on Neuromorphic Computing and Engineering
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco +56
Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as sep…
Hardware realization of the multiply and accumulate operation on radio-frequency signals with magnetic tunnel junctions
Nathan Leroux, Alice Mizrahi, Danijela Markovic +7
Artificial neural networks are a valuable tool for radio-frequency (RF) signal classification in many applications, but digitization of analog signals and the use of general purpos…
Radio-Frequency Multiply-And-Accumulate Operations with Spintronic Synapses
N. Leroux, D. Marković, E. Martin +4
Exploiting the physics of nanoelectronic devices is a major lead for implementing compact, fast, and energy efficient artificial intelligence. In this work, we propose an original…
Physics for Neuromorphic Computing
Danijela Markovic, Alice Mizrahi, Damien Querlioz +1
Neuromorphic computing takes inspiration from the brain to create energy efficient hardware for information processing, capable of highly sophisticated tasks. In this article, we m…
Wireless communication between two magnetic tunnel junctions acting as oscillator and diode
Danijela Marković, Nathan Leroux, Alice Mizrahi +7
Magnetic tunnel junctions are nanoscale spintronic devices with microwave generation and detection capabilities. Here we use the rectification effect called "spin-diode" in a magne…
Energy-efficient stochastic computing with superparamagnetic tunnel junctions
Matthew W. Daniels, Advait Madhavan, Philippe Talatchian +2
Superparamagnetic tunnel junctions (SMTJs) have emerged as a competitive, realistic nanotechnology to support novel forms of stochastic computation in CMOS-compatible platforms. On…
A scalable method to find the shortest path in a graph with circuits of memristors
Alice Mizrahi, Thomas Marsh, Brian Hoskins +1
Finding the shortest path in a graph has applications to a wide range of optimization problems. However, algorithmic methods scale with the size of the graph in terms of time and e…
Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions
Damir Vodenicarevic, Nicolas Locatelli, Alice Mizrahi +4
Many emerging alternative models of computation require massive numbers of random bits, but their generation at low energy is currently a challenge. The superparamagnetic tunnel ju…
Overcoming device unreliability with continuous learning in a population coding based computing system
Alice Mizrahi, Julie Grollier, Damien Querlioz +1
The brain, which uses redundancy and continuous learning to overcome the unreliability of its components, provides a promising path to building computing systems that are robust to…
Low-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing
Damir Vodenicarevic, Nicolas Locatelli, Alice Mizrahi +10
Low-energy random number generation is critical for many emerging computing schemes proposed to complement or replace von Neumann architectures. However, current random number gene…
Neural-like computing with populations of superparamagnetic basis functions
Alice Mizrahi, Tifenn Hirtzlin, Akio Fukushima +4
In neuroscience, population coding theory demonstrates that neural assemblies can achieve fault-tolerant information processing. Mapped to nanoelectronics, this strategy could allo…
Role of spin-transfer torques on synchronization and resonance phenomena in stochastic magnetic oscillators
Artur Accioly, Nicolas Locatelli, Alice Mizrahi +4
A theoretical study on how synchronization and resonance-like phenomena in superparamagnetic tunnel junctions can be driven by spin-transfer torques is presented. We examine the ma…
Synchronization of electrically coupled stochastic magnetic oscillators induced by thermal and electrical noise
A. Mizrahi, N. Locatelli, J. Grollier +1
Superparamagnetic tunnel junctions are nanostructures that auto-oscillate stochastically under the effect of thermal noise. Recent works showed that despite their stochasticity, su…
Controlling the phase locking of unstable magnetic bits for ultra-low power computation
A. Mizrahi, N. Locatelli, R. Lebrun +6
When fabricating magnetic memories, one of the main challenges is to maintain the bit stability while downscaling. Indeed, for magnetic volumes of a few thousand nm3, the energy ba…
Noise-enhanced synchronization of stochastic magnetic oscillators
Nicolas Locatelli, Alice Mizrahi, Artur Accioloy +9
We present an experimental study of phase-locking in a stochastic magnetic oscillator. The system comprises a magnetic tunnel junction with a superparamagnetic free layer, whose ma…