activity
20202022
most citedEnergy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks

29 citations · 65 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mes-hall2022★ 22 cited

Quantum Control of Spin Qubits Using Nanomagnets

Mohamad Niknam, Md Fahim F. Chowdhury, Md Mahadi Rajib +5

Single-qubit gates are essential components of a universal quantum computer. Without selective addressing of individual qubits, scalable implementation of quantum algorithms is not…

cond-mat.mes-hall2021

Focused Surface Acoustic Wave induced nano-oscillator based reservoir computing

Md. Fahim F. Chowdhury, Walid Al Misba, Md Mahadi Rajib +4

We demonstrate using micromagnetic simulations that a nanomagnet array excited by Surface Acoustic Waves (SAWs) can work as a reservoir that can classify sine and square waves with…

cond-mat.mes-hall2021★ 29 cited

Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks

Walid A. Misba, Mark Lozano, Damien Querlioz +1

We demonstrate that extremely low resolution quantized (nominally 5-state) synapses with large stochastic variations in Domain Wall (DW) position can be both energy efficient and a…

cond-mat.mes-hall2021★ 14 cited

Robust skyrmion mediated reversal of ferromagnetic nanodots of 20 nm lateral dimension with high Ms and moderate DMI

Md Mahadi Rajib, Walid Al Misba, Dhritiman Bhattacharya +1

Implementation of skyrmion based energy efficient and high-density data storage devices requires aggressive scaling of skyrmion size. Ferrimagnetic materials are considered to be a…

cond-mat.mes-hall2020

Voltage Controlled Energy Efficient Domain Wall Synapses with Stochastic Distribution of Quantized Weights in the Presence of Thermal Noise and Edge Roughness

Walid Al Misba, Tahmid Kaisar, Dhritiman Bhattacharya +1

We propose energy efficient strain control of domain wall (DW) in a perpendicularly magnetized nanoscale racetrack on a piezoelectric substrate that can implement multi state synap…