3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computing
Cliff B. Abbott, Mark Elo, Dmytro A. Bozhko
We introduce Perturbative Gradient Training (PGT), a novel training paradigm that overcomes a critical limitation of physical reservoir computing: the inability to perform backprop…
quant-ph2022★ 3 cited
Continuously tracked, stable, large excursion trajectories of dipolar coupled nuclear spins
Ozgur Sahin, Hawraa Al Asadi, Paul Schindler +9
We report an experimental approach to excite, stabilize, and continuously track Bloch sphere orbits of dipolar-coupled nuclear spins in a solid. We demonstrate these results on a m…
quant-ph2021★ 3 cited
Floquet prethermalization with lifetime exceeding 90s in a bulk hyperpolarized solid
William Beatrez, Otto Janes, Amala Akkiraju +9
We report the observation of long-lived Floquet prethermal states in a bulk solid composed of dipolar-coupled C nuclei in diamond at room temperature. For precessing nuclear…