activity
20242026
most citedRoadmap on Neuromorphic Photonics

18 citations · 21 across the 8 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci2026

Energy-Efficient Non-Volatile Photonic Switching via Composition-Engineered Sn-Doped GST

Xingyu Zhang, Daniel Vaz, Chi-Yi Kao +5

Integrated phase-change photonics allows non-volatile optical switching with no static power draw, but the electrical energy needed to reversibly switch the material's state limits…

physics.optics2026

Cryogenic thermo-optic response of low-loss phase change material for non-volatile photonic phase shifter

Marcus Tamura, Chuanyu Lian, Hongyi Sun +8

Phase change materials (PCMs) can enable non-volatile optical memory through the large refractive index and extinction coefficient contrast between crystalline and amorphous states…

cond-mat.mtrl-sci2025

Incorporating Si into Sb2Se3: Tailoring Optical Phase Change Materials via Nanocomposites

Chih-Yu Lee, Yi-Siou Huang, Felix Adams +10

Chalcogenide-based optical phase change materials (OPCMs) exhibit a large contrast in refractive index when reversibly switched between their stable amorphous and crystalline state…

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…

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

High-Speed Multifunctional Photonic Memory on a Foundry-Processed Photonic Platform

Sadra Rahimi Kari, Marcus Tamura, Zhimu Guo +9

The integration of computing with memory is essential for distributed, massively parallel, and adaptive architectures such as neural networks in artificial intelligence (AI). Accel…

physics.app-ph2024★ 1 cited

Microheater hotspot engineering for repeatable multi-level switching in foundry-processed phase change silicon photonics

Hongyi Sun, Chuanyu Lian, Francis Vásquez-Aza +9

Nonvolatile photonic integrated circuits employing phase change materials have relied either on optical switching mechanisms with precise multi-level control but poor scalability o…

cs.CR2024

OFHE: An Electro-Optical Accelerator for Discretized TFHE

Mengxin Zheng, Cheng Chu, Qian Lou +4

This paper presents \textit{OFHE}, an electro-optical accelerator designed to process Discretized TFHE (DTFHE) operations, which encrypt multi-bit messages and support homomorphic…

cs.LG2024★ 2 cited

Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments

Vivswan Shah, Nathan Youngblood

Real-world analog systems intrinsically suffer from noise that can impede model convergence and accuracy on a variety of deep learning models. We demonstrate that differentiable ac…