activity
20142026
most citedPhotonics for artificial intelligence and neuromorphic computing

1.7k citations · 4.5k across the 54 of their papers we have counts for

collaborators
Showing 2025Show all

8 papers · 1 filter

physics.optics2025

Ising accelerator with a reconfigurable interferometric photonic processor

José Roberto Rausell-Campo, Nayem Al Kayed, Daniel Pérez-Lppez +3

The general-purpose programmable photonic processors offer a scalable and reconfigurable solution for a wide range of RF and optical applications. Therefore, implementing photonic…

physics.optics2025★ 10 cited

Programmable 200 GOPS Hopfield-inspired photonic Ising machine

Nayem AL-Kayed, Charles St-Arnault, Hugh Morison +5

Ising machines offer a compelling approach to addressing NP-hard problems, but physical realizations that are simultaneously scalable, reconfigurable, fast, and stable remain elusi…

physics.optics2025

Fully analog end-to-end online training with real-time adaptibility on integrated photonic platform

Zhimu Guo, A. Aadhi, Adam N. McCaughan +4

Analog neuromorphic photonic processors are uniquely positioned to harness the ultrafast bandwidth and inherent parallelism of light, enabling scalability, on-chip integration and…

quant-ph2025

Large-Scale Tree-Type Photonic Cluster State Generation with Recurrent Quantum Photonic Neural Networks

Jacob Ewaniuk, Bhavin J. Shastri, Nir Rotenberg

Large, multi-dimensional clusters of entangled photons are among the most powerful resources for emerging quantum technologies, as they are predicted to enable global quantum netwo…

physics.optics2025

Compact, Large-Scale Photonic Neurons by Modulation-and-Weight Microring Resonators

Weipeng Zhang, Yuxin Wang, Joshua C. Lederman +2

Neuromorphic photonics promises sub-nanosecond latency, ultrawide bandwidth, and high parallelism, but practical scalability is constrained by fabrication tolerances, spectral alig…

physics.optics2025

Large-scale artificial intelligence with 41 million nanophotonic neurons on a metasurface

Mingcheng Luo, Meirui Jiang, Bhavin J. Shastri +8

Conventional integrated circuits (ICs) struggle to meet the escalating demands of artificial intelligence (AI). This has sparked a renewed interest in an unconventional computing p…