arXiv cs.NE
· Papers
Reconfigurable Nonlinear Photonic Networks for In-Situ Learning and Memory Formation via Driven-Dissipative Dynamics
arXiv:2605.19911v2 Announce Type: replace-cross Abstract: Photonic neuromorphic computing offers a promising route to overcoming the limitations of conventional Von Neumann architectures by exploiting the high bandwidth, low latency, and massive parallelism of optical systems. However, most existing implementations rel