Presentation Information

[ME1-4]Differentiable Neural Architecture Search for Photonic-Aware Neural Networks

Giovanni Paolini2, ○Emilio Paolini1, Nicola Andriolli2, Marco Cococcioni2 (1.Scuola Superiore Sant'Anna, 2.Universitá di Pisa)

Keywords:

Photonics for neuromorphic computing and deep learning,Optical neural networks and reservoir computing

We propose a differentiable Neural Architecture Search framework for photonic-aware neural networks integrating photonic constraints and quantization-aware training. The resulting architectures outperform handcrafted models achieving 79% accuracy at 6-bit quantization, closely matching full-precision baselines.