3 papers
cs.NE2026
An Optimization Framework for Automated Assessment of Biological Plausibility of Spiking Neurons
Sven Nitzsche, Alexandru Ionita, Andreas Faust +2
Biological plausibility is a key concept in neuromorphic computing and spiking neural networks, yet it remains inconsistently defined and difficult to quantify. In this work, we pr…
cond-mat.supr-con2026
Stacked Josephson junctions for quantum circuit applications
Alex Kreuzer, Thilo Krumrey, Hossam Tohamy +3
Low-loss inductors are essential components in various superconducting circuits, such as qubits or digital electronics. In this study, we investigate highly compact inductors forme…
cs.CR2025
Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations
Alexandru IoniÅ£Ä, Andreea IoniÅ£Ä
With the increased interest in artificial intelligence, Machine Learning as a Service provides the infrastructure in the Cloud for easy training, testing, and deploying models. How…