Optical Computing
Silicon photonics, co-packaged optics, photonic AI accelerators, optical neural networks
Integrated Platforms and Techniques for Photonic Neural Networks
Comprehensive review of integrated photonic platforms for neural networks
Integrated Neuromorphic Photonic Computing for AI Acceleration
Photonic tensor cores: 880 TOPS/mm2, 5.1 TOPS/W — 1-3 OOM over digital accelerators
Ultra-compact photonic AI chip operates at the speed of light
Inverse-designed nanophotonic neural network achieving 90-99% classification accuracy on 10K+ biomedical images at picosecond timescales
An integrated large-scale photonic accelerator with ultralow latency
16,000+ component photonic accelerator on single chip demonstrating ultralow latency and faster computing than commercial GPU
Harnessing Photonics for Machine Intelligence
System-level cross-layer benchmarking framework (SimPhony) revealing that peripheral overheads dominate photonic AI energy budgets, and that dynamic Transformer workloads expose fundamental limitations in MZI mesh architectures
Integrated photonic neuromorphic computing: device, architecture, chip, algorithm
Systematic multi-layer review of photonic neuromorphic computing spanning photonic neurons, synapses, network architectures, integrated chips, and optimization algorithms
A fully-programmable integrated photonic processor for domain-specific and general-purpose computing
First single programmable photonic processor handling both NP-complete problem solving (100% accuracy) and general-purpose matrix computation (97% MNIST accuracy) without hardware modification
Quantum photonics on a chip
Comprehensive review of integrated quantum photonic circuits on chip, synthesizing materials platforms, single-photon sources, detectors, and applications across quantum computing, communication, and sensing
Photonic convolutional neural network with pre-trained in-situ training
Fully-optical CNN for MNIST at 94% accuracy with 100-242x better energy efficiency than GPUs, 2132 on-chip tunable parameters, no O/E/O conversions.
SKYLIGHT: A Scalable Hundred-Channel 3D Photonic In-Memory Tensor Core for Real-Time AI Inference
SKYLIGHT proposes scalable 3D, WDM-enabled, non-volatile photonic tensor core architecture with hundred-channel parallelism for real-time AI inference
LightIn: Versatile Silicon Integrated Photonic Processor for AI Clusters
LightIn 160-component silicon photonic processor — first to realize compute + signal processing + switching + encryption on a single CMOS-compatible chip for AI clusters
Lightmatter Passage L200: Record 1.6 Tbps Per Fiber
Record 1.6 Tbps/fiber; L200 CPO enabling 200+ Tbps/package; 8x faster AI training
Ayar Labs UCIe Optical Chiplet
First UCIe optical chiplet. 16-wavelength SuperNova, 8 Tbps. TSMC COUPE partnership. $500M raise Mar 2026 (Nvidia-backed). Production samples 2026.
Ayar Labs raises $500M to mass-produce CPO chiplets
$500M Series E for CPO mass production; TeraPHY delivers 200 Tbps/package — 5x Nvidia Rubin bandwidth
TSMC COUPE Platform for Silicon Photonics — Alchip + Ayar Labs Demo
First fully integrated COUPE-based optical I/O engine — 100 Tb/s per accelerator via UCIe interface
OIF 3.2T Co-Packaged Module Implementation Agreement
First industry co-packaging standard — 3.2Tb/s module with 8x400G optical interfaces enabling 51.2Tb/s switch bandwidth
Q.ANT NPU 2 Photonic Processor for AI and HPC
Second-gen photonic processor claiming 30x lower energy and 50x higher performance for AI/HPC, shipping early 2026
The Shift to Photonics for Data Center Networks and AI
Industry deployment timeline 2026-2028. Manufacturing, supply chain, integration realities.
Five Key Trends of Co-Packaged Optics (CPO) in 2026
Industry analysis: CPO reduces link power 30W→9W, UCIe optical extends package boundaries, thermal management is critical blocker