Digital-analog concept for superconducting perceptron-like neural networks

arXiv:2609.21613 · cond-mat.supr-con, cond-mat.dis-nn · Submitted 2026-09-18 · Read on arXiv

cond-mat.supr-con, cond-mat.dis-nn

Submitted: 2026-09-18

Updated: 2026-09-18

Code: https://github.com/aeschegolev/sigma-neuron-mnist

Terminology

• Accuracy — 14× in this paper · explained in 1 episode
• Activation Function — 6× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hysteresis — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Root Mean Square Error — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Adam: A Method for Stochastic Optimization

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