works on

From the 1 of 18 linked papers with an AI index.

activity
20242026
most citedNeuromorphic Photonic Computing with an Electro-Optic Analog Memory

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing physics.opticsShow all

14 papers · 1 filter

physics.optics2026

Photonic Ising machines toward and beyond a million spins

A. Aadhi, Nayem Al-Kayed, Tristan Austin +8

The paper reviews the state of photonic Ising machines, highlighting scalability, connectivity, and reconfigurability challenges, and outlines advances needed to build systems with…

physics.optics2026

Universal Neural Network Based Calibration and Control of Programmable Classical and Quantum Photonic Integrated Processors

José Roberto Rausell-Campo, Daniele Melati, Bhavin Shastri +2

Efficient calibration and control of programmable photonic integrated circuits are fundamental for scaling quantum and classical optical computing processors. While neural network-…

physics.optics2026

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

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

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…