52 citations · 53 across the 5 of their papers we have counts for
5 papers
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…
Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations
Alexandru Ioniţă, Andreea Ioniţă
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…
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…
Heuristics Optimization of Boolean Circuits with application in Attribute Based Encryption
Alexandru Ionita, Denis-Andrei Banu, Iulian Oleniuc
We propose a method of optimizing monotone Boolean circuits by re-writing them in a simpler, equivalent form. We use in total six heuristics: Hill Climbing, Simulated Annealing, an…
Superconducting granular aluminum resonators resilient to magnetic fields up to 1 Tesla
K. Borisov, D. Rieger, P. Winkel +8
High kinetic inductance materials constitute a valuable resource for superconducting quantum circuits and hybrid architectures. Superconducting granular aluminum (grAl) reaches kin…