Prof. Shlomi Arnon
Hybrid Quantum Neural Networks for Efficient Optical Mode Decoding
Hybrid quantum neural networks enable parameter-efficient decoding of distorted optical modes, achieving 8.25× model compression and ~3× higher robustness under noise compared to classical CNNs, supporting resource-constrained optical communication systems.
| Publication language | English |
| Publication status | Published - 01.01.2026 |
ASJC Scopus subject areas
Computer Networks and Communications
