activity
20102021
most citedVoltage-Induced Ferromagnetic Resonance in Magnetic Tunnel Junctions

268 citations · 453 across the 13 of their papers we have counts for

collaborators

14 papers

cond-mat.supr-con2021★ 11 cited

Reservoir Computing with Superconducting Electronics

Graham E. Rowlands, Minh-Hai Nguyen, Guilhem J. Ribeill +5

The rapidity and low power consumption of superconducting electronics makes them an ideal substrate for physical reservoir computing, which commandeers the computational power inhe…

cs.NE2021★ 17 cited

Symmetry-Aware Reservoir Computing

Wendson A. S. Barbosa, Aaron Griffith, Graham E. Rowlands +5

We demonstrate that matching the symmetry properties of a reservoir computer (RC) to the data being processed dramatically increases its processing power. We apply our method to th…

quant-ph2021★ 9 cited

Neuromorphic computing with a single qudit

W. D. Kalfus, G. J. Ribeill, G. E. Rowlands +3

Accelerating computational tasks with quantum resources is a widely-pursued goal that is presently limited by the challenges associated with high-fidelity control of many-body quan…

cond-mat.mtrl-sci2020★ 11 cited

Vector Hamiltonian Formalism for Nonlinear Magnetization Dynamics

Vasyl Tyberkevych, Andrei Slavin, Petro Artemchuk +1

Vector Hamiltonian formalism (VHF) for the description of a weakly nonlinear magnetization dynamics has been developed. Transformation from the traditional Landau-Lifshitz equation…

physics.app-ph2019★ 5 cited

Nanosecond Reversal of Three-Terminal Spin Hall Effect Memories Sustained at Cryogenic Temperatures

Graham E. Rowlands, Minh-Hai Nguyen, Sriharsha V. Aradhya +4

We characterize the nanosecond pulse switching performance of the three-terminal magnetic tunnel junctions (MTJs), driven by the spin Hall effect (SHE) in the channel, at a cryogen…

physics.app-ph2019

Cryogenic Memory Architecture Integrating Spin Hall Effect based Magnetic Memory and Superconductive Cryotron Devices

Minh-Hai Nguyen, Guilhem J. Ribeill, Martin Gustafsson +19

One of the most challenging obstacles to realizing exascale computing is minimizing the energy consumption of L2 cache, main memory, and interconnects to that memory. For promising…