3 papers
astro-ph.IM2026
Hybrid neural denoising for resource-efficient near- and sub-threshold radio triggering of extensive air showers
Alperen Aksoy, Ilja Bekman, Markus Cristinziani +7
Autonomous radio self-triggering for extensive air showers must reject variable radio-frequency interference while preserving sensitivity to weak pulses and remaining compatible wi…
cs.NE2026
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications
Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov +7
This paper examines the use of Quantized Neural Networks (QNNs) for two resource-constrained scientific applications: automated calibration of semi- conductor quantum bits (qubits)…
cond-mat.mes-hall2025
On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots
Fabian Hader, Jan Vogelbruch, Simon Humpohl +5
In gate-defined quantum dot systems, the conductance change of electrostatically coupled sensor dots allows the observation of the quantum dots' charge and spin states. Therefore,…