The Shanghai facility, a joint venture between a top university and the startup behind one of Hong Kong’s biggest IPOs this year, aims to build chips that use photons instead of electrons to power AI.
China has opened its first dedicated photonic computing lab in Shanghai, a joint venture between Shanghai Jiao Tong University and startup Lightelligence. The facility signals Beijing’s bet on light-based chips as a strategic workaround to US semiconductor export controls that have restricted access to conventional AI hardware.TL;DR
China has launched its first dedicated photonic computing laboratory in Shanghai, signalling that Beijing sees light-based chips as a strategic route around Washington’s tightening grip on conventional semiconductor exports. The Shanghai Key Laboratory of Integrated Photonic Computing Chips and Systems opened on 11 June at Shanghai Jiao Tong University, the state-backed Jiefang Daily reported.
The lab is a joint effort between the university and Shanghai-based Lightelligence, one of the country’s leading photonic computing startups. Lightelligence listed on the Hong Kong stock exchange in April, surging roughly 380% on its first day of trading, and claims to be the first company in the world to achieve large-scale deployment of hybrid optical-electronic computing, though that assertion has not been independently verified.
Conventional AI chips push data through silicon circuits using electrons. Photonic chips swap electrons for photons, particles of light that travel faster and generate far less heat.
The theoretical payoff is significant. Photonic processors promise higher bandwidth, lower latency, and a fraction of the energy consumption, qualities that matter as training frontier AI models pushes data-centre power demands toward their limits.
Zou Weiwen, the lab’s director and a photonics professor at Shanghai Jiao Tong University, said optical computing was “an important pathway for achieving breakthroughs in computing power.” The facility will focus on photonic chip architectures, silicon-photonics integration, optical components, and the algorithms needed to make them commercially viable.
The lab’s launch coincides with Beijing’s broader drive for technological self-reliance. Washington has restricted China’s access to advanced semiconductors since 2022 and has widened the rules repeatedly, forcing Chinese firms to hunt for alternatives.
That search has already shifted China’s AI chip strategy away from general-purpose GPUs and toward custom silicon. Photonics represents a more radical pivot, one that could let Chinese engineers sidestep lithography bottlenecks entirely by building on the country’s existing strengths in fibre optics and laser technology.
Chinese authorities have flagged photonics and photonic-electronic hybrid accelerator chips as strategic national priorities. Shanghai officials said they had mobilised coordinated funding across multiple science and technology programmes to back the effort.
Beijing is already pouring money into AI infrastructure through other channels. A reported $295 billion blueprint would build a nationwide network of data centres running largely on domestic chips by 2028.
Photonic computing, however, remains far from production-ready. Zou acknowledged that the field faces “fundamental scientific challenges,” citing the absence of a mature software and algorithm ecosystem capable of efficiently harnessing photonic hardware.
The gap between laboratory promise and commercial reality is wide. But with conventional chips increasingly hard to source and AI workloads growing exponentially, China is clearly willing to bet on the physics of light.
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