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

China launched its first industry-academia platform dedicated to photonic computing on Wednesday, the Shanghai Key Laboratory of Integrated Photonic Computing Chips and Systems, as the country seeks alternatives to conventional semiconductors amid US export curbs on advanced chips. The lab, based at Shanghai Jiao Tong University, will focus on developing photonic chips that use light particles for data transmission and computation, offering potential advantages in speed and energy efficiency for powering AI models.

read1 min publishedJun 12, 2026

Lab director says fundamental scientific challenges need to be overcome to achieve theoretical performance

US technology curbshobbling its ambitions in artificial intelligence development.

The Shanghai Key Laboratory of Integrated Photonic Computing Chips and Systems, launched on Wednesday, was China’s first industry-academia platform dedicated to the field, Shanghai’s Jiefang Daily reported on Thursday.

Zou Weiwen, director of the new laboratory and a photonics professor at Shanghai Jiao Tong University, said photonic – or optical – computing was “an important pathway for achieving breakthroughs in computing power, offering advantages in bandwidth, latency, and energy efficiency”. The new lab is based at the university.

While traditional semiconductors rely on electrons to push data through silicon circuits, photonic chips use light particles – photons – for data transmission and computation. Because photons travel much faster than electrons and generate less heat, photonic chips could deliver higher performance while consuming just a fraction of the power – making them a potential alternative to the conventional semiconductors used in the power-hungry data centres supporting the AI boom.

The Shanghai lab would focus on research into photonic chip architectures, silicon-photonics integration, optical components and the algorithms and commercial applications needed to make them viable, Jiefang Daily reported.

The launch comes as tech companies around the world race to secure the massive computing power required to train and run increasingly sophisticated AI models. The surging energy consumption and performance demands of the models are pushing conventional silicon semiconductors to their physical limits.

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