arXiv cs.NE
· Papers
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications
arXiv:2511.05479v4 Announce Type: replace Abstract: This paper examines the use of Quantized Neural Networks (QNNs) for two resource-constrained scientific applications: automated calibration of semi-conductor quantum bits (qubits) and scientific particle detectors. We evaluate the trade-offs between Post-Training Quan