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physics.optics2026
TRON: Trainable, architecture-reconfigurable random optical neural networks
Ziao Wang, Fei Xia, Logan G. Wright +5
Deep learning has triggered explosive growth in the demand for specialized hardware processors, thus motivating the development of scalable and reconfigurable computing substrates.…
physics.optics2023★ 2 cited
Large-scale photonic computing with nonlinear disordered media
Hao Wang, Jianqi Hu, Andrea Morandi +7
Neural networks find widespread use in scientific and technological applications, yet their implementations in conventional computers have encountered bottlenecks due to ever-expan…