Crypto news

26.06.2026
16:26

Chinese startup Taiyi Quantum has raised $44 million for next-generation quantum computing.

Shanghai-based startup Taiyi Quantum, specializing in the development of quantum computers, has successfully closed a pre-seed funding round of 300 million yuan, equivalent to approximately $44 million. The round was led by two major venture capital funds — Gaorong Venture Capital and IDG Capital, indicating strong investor confidence in the technology and the project team.

Who is behind the project

At the helm of Taiyi Quantum is Liu Hongbin, a former architect of Azure Quantum at Microsoft. His experience working at one of the world's leading corporations in the field of quantum computing lends significant credibility to the startup in the eyes of the professional community. Under his leadership, the company has focused on building a quantum computer based on neutral ytterbium atoms.

Technological foundation

Unlike traditional approaches where qubits are implemented using superconductors or ions, Taiyi Quantum uses neutral atoms trapped in optical tweezers by lasers. Each atom acts as an individual qubit. This method is considered promising due to high coherence and scalability — theoretically, such systems can be expanded to thousands of qubits without a significant increase in errors.

Ytterbium, chosen as the working element, is known for its stability and is well-studied in quantum physics, simplifying engineering implementation. Currently, Taiyi Quantum is at an early prototyping stage, but the raised funds will accelerate the creation of a full-fledged sample.

My view on the situation

This round is not just another investment. It highlights the growing interest in alternative quantum computer architectures, especially in China, where the government actively subsidizes breakthrough technologies. If Taiyi Quantum manages to demonstrate a working prototype within the next two years, it could shift the balance of power in the quantum computing market, which is currently dominated by giants like IBM and Google. But for now, this is merely an ambitious plan — success will depend on the team's ability to translate scientific developments into a commercially viable product.