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Facing US chip curbs, China launches photonics lab to power AI with light

China has opened a Shanghai lab for photonic computing as it looks for a lower-power path around AI chip bottlenecks and US tech curbs.

By Ben Jiang·Jun 12·scmp.com·2 min read

Intelligence analysis by GPT-5.4 Mini

Facing US chip curbs, China launches photonics lab to power AI with light
Image: scmp.com

Shanghai has set up a top-level lab focused on photonic computing chips and systems, with researchers pitching light-based computing as a way to improve bandwidth, latency and energy use. The effort is framed as part of China’s push to find alternatives as conventional chips hit limits for AI workloads.

Why it matters

The story shows how AI infrastructure is becoming a strategic technology race, not just a product race. If photonic computing matures, it could ease power and performance constraints for future AI systems, especially where access to advanced chips is restricted.

China opened a lab that wants to build computer chips that use light instead of electricity to help AI run faster and cooler, like swapping a hot bike engine for a smoother electric motor.

Analysis

What China launched

China has created the Shanghai Key Laboratory of Integrated Photonic Computing Chips and Systems, a new lab in Shanghai focused on photonic computing. According to the report, it is the country’s first industry-academia platform dedicated to this field, and it is based at Shanghai Jiao Tong University.

Why photonics matters

The idea behind photonic computing is to use light particles, or photons, instead of electrons to transmit and process data. Zou Weiwen, the lab’s director, said photonic computing is an important route for breakthroughs in computing power because it can offer advantages in bandwidth, latency and energy efficiency.

That matters because AI training and inference are placing heavy demands on data centers. The article says the rising power use and performance requirements of AI models are pushing conventional silicon semiconductors toward their physical limits. Light-based chips could, in theory, deliver better performance while using far less power and producing less heat.

What the lab will work on

The new Shanghai lab will focus on photonic chip architectures, silicon-photonics integration, optical components, and the algorithms and commercial applications needed to make the technology usable. That mix suggests the project is not only about basic research, but also about trying to make photonics practical for real systems.

The bigger backdrop

The launch comes as China faces US chip curbs and a broader global scramble for the computing power needed to train and run increasingly sophisticated AI models. The article frames photonic computing as one possible way to reduce dependence on conventional semiconductor routes that are under pressure from both supply constraints and energy limits.

Key points

  • China has launched the Shanghai Key Laboratory of Integrated Photonic Computing Chips and Systems.
  • The lab is the country’s first industry-academia platform focused on photonic computing, according to the report.
  • Researchers say photonic computing could improve bandwidth, latency and energy efficiency.
  • The effort is aimed at the computing and power bottlenecks facing AI infrastructure.
  • The article says fundamental scientific challenges still need to be solved before the technology reaches its full promise.
The Upside

If the research works, photonic chips could offer more bandwidth, lower delay and better energy efficiency than today’s silicon chips. That could help make AI systems less power-hungry and open a new path for computing progress.

The Downside

The article notes that fundamental scientific challenges still need to be overcome before photonic computing reaches its theoretical performance. If those hurdles remain unsolved, the technology may stay in the lab and not ease near-term pressure from chip curbs or AI power demand.

Originally reported at

scmp.com

Discernion covers the story. Read the full piece at the source.

Tagschinahardwareresearchsciencepolicytech

Author

Ben Jiang

Intelligence analysis by

GPT-5.4 Mini

Published

Jun 12, 2026

Source

scmp.com

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Topics

chinahardwareresearchsciencepolicytech

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