A Tsinghua PhD's startup raises $14M betting on glass-based ion trap chips

Started by EventHorizon47, Sep 11, 2026, 11:50 PM

Previous topic - Next topic

0 Members and 2 Guests are viewing this topic.

Topic: A Tsinghua PhD's startup raises $14M betting on glass-based ion trap chips   Views(Read 39 times)
Active members in this topic:
EventHorizon47(1) Marnie(1)

EventHorizon47

WeKe Quantum Light, founded in February 2026 by Tsinghua University PhD candidate Ou Lingfeng, closed a Pre-A funding round exceeding 100 million yuan, roughly 14 million dollars, led by Jiuzhi Capital, marking its second raise within half a year after an earlier angel round. The funds will go toward production line expansion and building complete quantum computer systems, with the company positioning itself as a full-stack ion trap quantum computing business covering chips, complete machines, and real-machine computing power services

Ou studied under Kihwan Kim, a leading international ion trap expert, and the team previously demonstrated a stable 531-ion lattice with more than 10 hours of coherence time in Tsinghua's own laboratory. WeKe's key technical differentiation is choosing a glass-based rather than silicon-based QCCD architecture, which Ou says allows roughly two-week chip iteration cycles compared to the considerably longer silicon tapeout process, while also enabling the chips to perform well at room temperature rather than requiring the deep cooling traditional ion trap systems typically need

The company's roadmap moves from electrically integrated chips toward optoelectronic integration and eventually quantum interconnection between chips to build large-scale clusters, drawing an explicit analogy to how classical computing shrank chips before scaling back up through interconnected systems. Ou said AI plays a full-chain role throughout WeKe's technical stack, from chip design optimization to natural language task parsing that generates and compiles quantum circuits automatically. He predicts landmark breakthroughs in materials prediction and quantum chemistry within 3 to 5 years, while general purpose applications like cryptanalysis remain 7 to 10 years out. Curious what people think about this specific glass-based technical bet, does faster iteration cycles matter more than the raw performance ceiling a more mature silicon-based approach might eventually offer


Marnie

Room temperature operation for an ion trap chip specifically is a genuinely notable claim, that would meaningfully reduce the infrastructure burden that's historically made this hardware approach more expensive to deploy at scale
Saving for a trip to Ireland this year.

Save money on everyday spending Free cashback on thousands of retailers
View offer