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Taiyi Liangsheng Bags New Pre‑A Funding, Raising Over CNY 1B in 8 Months

by xindongxi·October 13, 2026

Author | Cui Yuanwei Editor | Chen Junda

According to a report from XinDongXi on October 10, today, Shanghai quantum computing startup Taiyi Liangsheng Quantum Technology Co., Ltd. announced the completion of a new Pre-A round of financing totaling hundreds of millions of CNY. Taiyi Liangsheng disclosed that the company has raised a cumulative total of over 1 billion CNY in just over 8 months since its establishment.

In this round of financing, new investors including Jinqiu Fund (founded by the former investment team of ByteDance), Yunbai Capital, Hongruida Investment, Chengdu Gaoxin Vision Fund, and Lingang Frontier Investment have joined. Existing shareholders such as Huakong Fund, Hengxu Capital, Boyuan Capital, Gaomai Investment, and Yarui Capital have made oversubscribed follow-on investments. The investor base covers market-oriented professional institutions, state-owned platforms, and industrial capital. The company stated that the funds from this round will be primarily used in three areas: attracting global scientific research talents, deepening capabilities in quantum error correction and systems engineering, and promoting industrial cooperation and open-source ecosystem development.

Founded in January 2026 and headquartered in Xuhui, Shanghai, Taiyi Liangsheng is a company focused on the neutral atom quantum computing route. Its business encompasses quantum computing technology services, IoT (Internet of Things) technology R&D, and R&D of specialized electronic materials. Its founder and CEO, Fang Zhenghao, holds a bachelor's degree in chemistry from Fudan University and an EMBA degree from CEIBS. He previously worked at overseas hedge funds, participating in the management of assets for overseas institutional investors such as the Bill & Melinda Gates Foundation trust. With over 10 years of investment research experience, he has led and participated in investment cases including Shipu Testing, Mufan Power, Aochuang Photonics, Yueqian Engine, Qiongche Intelligence, Noetix Robotics, Xihu Robot, and Guangbenwei.

The company's founder and CTO, Liu Hongbin, was a classmate of Fang Zhenghao at Fudan University and formerly served as the Chief Architect of Quantum at Microsoft.

In 2024, Liu Hongbin, along with the Microsoft team, completed the world's first end-to-end chemical system simulation integrating HPC, quantum computing, and AI (Artificial Intelligence), running a complete chemical simulation workflow on logical qubits.

Currently, Taiyi Liangsheng has nearly 100 global scientific research and engineering talents. Core members come from universities, research institutions, and technology companies such as MIT, JILA, University of Pennsylvania, University of Munich, Center for Quantum Technologies Singapore, Zurich Instruments, and Microsoft. The company also conducts scientific research cooperation with relevant research groups at Peking University, Fudan University, and East China Normal University. According to Qichacha, an enterprise information inquiry platform, Taiyi Liangsheng has completed three rounds of financing to date.

In March 2026, the company completed an angel round of financing of over 100 million CNY, led by Shanghai Future Industry Fund and iFlytek Ventures, with follow-on investments from institutions such as Yaben Chemical and Houxue Capital. In June of the same year, it completed its first Pre-A round of financing, raising 300 million CNY, with investors including IDG Capital, Gaorong Capital, and Yarui Capital.

When selecting a physical system in the field of quantum computing, neutral atoms feature mobility and reconfigurability. Flexible topologies can be formed through the spatial scheduling of functional areas such as storage, computation, and measurement zones, providing design space for fault-tolerant architectures. Building on this, the Taiyi Liangsheng team selected ytterbium atoms. The core rationale is that the energy level structure of ytterbium can convert some errors into detectable leakage errors in terms of position. This allows the system to identify the location of errors earlier, reducing the difficulty and resource overhead of error correction decoding. In other words, it achieves higher-quality post-error-correction computing power with fewer physical resources.

Based on this systemic judgment, the company began setting up its laboratory in March this year. Relying on Shanghai's scientific research and supply chain resources, it completed the integration of the entire machine within six months. Currently, its real-time control latency has entered the 10-microsecond level, its self-developed quantum compiler "Luoshu" has been officially open-sourced, and the automated error correction engineering system is being continuously advanced.

Conclusion: Quantum Computing Financing Heats Up, but Commercialization Still Takes Time

The capital fever for global quantum computing is rising. Overseas, the U.S. quantum computing company Quantinuum went public on the Nasdaq in June 2026, raising 1.68 billion USD (approximately 11.3 billion CNY), with its market capitalization exceeding 15 billion USD (approximately 101 billion CNY) on the first day of listing. Concurrent with Taiyi Liangsheng's current financing round, the U.S. neutral atom quantum computing startup Oratomic completed a 475 million USD (approximately 3.198 billion CNY) Series B financing, reaching a valuation of 5.4 billion USD (approximately 36.358 billion CNY).

Domestically, the pace is also accelerating: Xiangliang Qidian (neutral atom route), Yaozheng Quantum (ion trap route), and Buchou Quantum, which has raised nearly 1 billion CNY in cumulative financing within a year of its establishment, have all completed 100-million-CNY-level financing rounds this year. As quantum computing transitions from the laboratory to engineering, the gap in financing activity between Chinese and U.S. startups is narrowing.

However, financing heat does not equal commercialization progress. For fault-tolerant quantum computing to move from physical qubits to logical qubits, and from building the whole machine to reducing the error rate to a usable level, it must pass through multiple engineering hurdles involving error correction, real-time control, software stacks, and industrial validation. This cycle is measured in five or even ten years.

The industry generally expects that fault-tolerant quantum computing will remain in the system validation stage over the next 3 to 5 years. Capital can accelerate R&D, but it cannot replace the time required for engineering itself. For startups like Taiyi Liangsheng, whether they can transform their financing scale into reproducible and deliverable computing power remains a more critical issue for long-term tracking than the financing amount itself.