activity
20232026
most citedRoadmap on Neuromorphic Photonics

18 citations · 23 across the 5 of their papers we have counts for

collaborators

6 papers

physics.optics2026

Quantifying structural nonlinearity in a disordered Fabry-Pérot cavity

Morgan Facchin, Sylvain Gigan

Structural nonlinearity is the emergence of nonlinear input-output transformations from purely linear processes. In optics, this arises from the multiple interactions of light with…

physics.optics2026

Real-time Calibration-free Imaging Through Dynamic and Distinct Multimode Fibers via Spatial Harmonic Invariant Nonlinear Encoding (SHINE)

Zhiyuan Wang, Haoran Li, Songjie Luo +8

Multimode fibers (MMFs) provide a compact, high-throughput platform for minimally invasive imaging and information transmission. However, their utility is fundamentally constrained…

cs.ET2025★ 18 cited

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…

physics.optics2024★ 1 cited

Low Photon Number Non-Invasive Imaging Through Time-Varying Diffusers

Adrian Makowski, Wojciech Zwolinski, Pawel Szczypkowski +3

Optical imaging plays a crucial role in advancing science and technology, enabling applications in fields ranging from biomedicine to astronomy. However, imaging through scattering…

physics.app-ph2024★ 4 cited

Training of Physical Neural Networks

Ali Momeni, Babak Rahmani, Benjamin Scellier +25

Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…

quant-ph2023

Classification of quantum states of light using random measurements through a multimode fiber

Saroch Leedumrongwatthanakun, Luca Innocenti, Alessandro Ferraro +2

Extracting meaningful information about unknown quantum states without performing a full tomography is an important task. Low-dimensional projections and random measurements can pr…