4 citations · 4 across the 2 of their papers we have counts for
2 papers
cond-mat.supr-con2025
Learning dynamics on the picosecond timescale in a superconducting synapse structure
Ken Segall, Leon Nichols, Will Friend +1
Conventional Artificial Intelligence (AI) systems are running into limitations in terms of training time and energy. Following the principles of the human brain, spiking neural net…
cond-mat.supr-con2024★ 4 cited
Self-training superconducting neuromorphic circuits using reinforcement learning rules
M. L. Schneider, E. M. Jué, M. R. Pufall +2
Reinforcement learning algorithms are used in a wide range of applications, from gaming and robotics to autonomous vehicles. In this paper we describe a set of reinforcement learni…