Anthropic released research on Oct 16, 2026, saying its AI model Claude designed quantum circuits that outperform published optimal solutions across eight quantum computing tasks, including chemistry, optimization, physics simulation, and number theory, with almost no human intervention. The designs reduce qubit and gate counts and introduce new mathematical and structural ideas that could lower hardware requirements for practical quantum applications.
Spanish AI company Multiverse Computing announced on X the release of its large language model Quasar 1.1 438B, claiming it is the first AI model trained on data generated by quantum computing. Netizens questioned its European origin, noting that the model is based on China's Zhipu AI GLM-5.2, which the company's website later confirmed, sparking criticism and mockery.
Joe Weinman said in his opening speech that China's deep investments in AI's underlying technology architecture are underestimated, that all-optical photonic chips are a highly promising technical route, and he cited Tsinghua University's Taiji-1 and Taiji-2 chips as well as China's multiple breakthroughs in quantum computing.
Xianggan Technology has completed a new funding round of hundreds of millions of yuan, with investors including local state-owned capital platforms and industrial capital. The funds will be used for next-generation quantum chip R&D, independent chip production line construction, and building a thousand-qubit quantum computing cloud platform.