The team has assembled interdisciplinary talents with backgrounds in quantum computing, AI, high-performance computing, and materials chemistry from top universities like Tsinghua and Peking University, as well as world-class research institutions, combining both frontier theoretical breakthroughs and industry experience.
Recently, FieldQuantum (量坤科技; Beijing Liangkun Technology Co., Ltd.) completed several hundred million RMB in Angel and Angel+ round financing. This series of financing was led by InnoAngel Fund (英诺天使基金), with participation from multiple institutions including Guoqi Investment (国汽投资), Beijing Industrial Developing Investment Management Co., Ltd. / Beigong Investment (北工投资), Baidu Ventures (BV) (百度风投), and Shuimu Tsinghua Alumni Fund (水木清华校友基金). Lighthouse Capital (光源资本) served as the exclusive financial advisor.
This round of financing will be mainly used for core technology R&D, product platform construction, industrial scenario expansion, and the introduction of high-level talent. FieldQuantum (量坤科技) will continue to focus on the convergence of Quantum × AI × HPC, building a next-generation scientific R&D platform for fields such as materials, chemistry, biomedicine, and high-end manufacturing, and improving the efficiency of modeling, solving, verification, and engineering transformation for complex scientific problems.
FieldQuantum (量坤科技) was founded by Dr. Lyu Dingshun. Dr. Lyu combines an academic background in quantum computing from Tsinghua University with industry experience from top-tier domestic technology companies. The team has gathered interdisciplinary talents with backgrounds in quantum computing, AI, high-performance computing, and materials chemistry from top institutions such as Tsinghua University (清华大学), Peking University (北京大学), and world-class research institutions, possessing both frontier theoretical research capabilities and industrial experience.
The company is committed to addressing the “accuracy-efficiency-cost” triple dilemma faced by frontier technology R&D in the post-Moore era, building future-oriented scientific computing infrastructure. By integrating the high precision of quantum computing, the high efficiency of AI, and the stability of High-Performance Computing (HPC), it aims to achieve an order-of-magnitude improvement in the solution efficiency of major R&D problems.
Quantum computing is entering a critical phase from experimental verification toward systems engineering.
In recent years, quantum computing schemes across different technological approaches have made significant progress, evolving from proof-of-concept demonstrations with a few physical qubits to larger-scale hardware systems. On this basis, quantum computing is shifting to a new stage of synergistic development involving hardware, software, compilation, algorithms, and applications. Software capabilities such as error mitigation, variational quantum algorithms, quantum machine learning, quantum chemistry, combinatorial optimization, and automatic quantum circuit optimization are being integrated with real quantum processors, and some tasks have begun to approach the boundary where “classical computing struggles to reproduce efficiently.” Meanwhile, large models, scientific research agents, and automated workflows are rapidly changing how knowledge is acquired, how problems are defined, how models are built, and how experimental decisions are made. The superposition of these two technological trends is bringing systematic changes to the way complex scientific problems are solved.
Therefore, the next stage of the quantum computing industry requires not only stronger quantum hardware, but also software and platform-layer capabilities that connect quantum algorithms, AI for Science, high-performance computing, and specific R&D tasks. For the research of complex scientific problems such as materials, chemistry, biomedicine, and high-end manufacturing, it is necessary to continuously iterate and establish a synergy mechanism among hardware capabilities, classical high-performance computing capabilities, and AI model capabilities, so as to complete problem modeling, algorithm design, task scheduling, simulation verification, and scenario adaptation.
An integrated platform oriented toward the new generation of scientific R&D paradigms
FieldQuantum (量坤科技) was established in Beijing, focusing on the integrated innovation of quantum technology, artificial intelligence, and high-performance computing, and is committed to building an underlying capability system oriented toward the new generation of scientific R&D paradigms. The company has built a unified technical architecture centered on Quantum × AI × HPC, synergistically organizing quantum algorithms, large models, AI for Science, and research agent systems with high-performance computing capabilities to serve scenarios such as high-precision computing, complex system simulation, material and molecular design, experimental process optimization, and R&D decision support.
The company’s long-term goal is to achieve an order-of-magnitude improvement in the efficiency of solving major R&D problems, significantly shorten the cycle from mechanism discovery to engineering verification, and drive more problems that were originally difficult to solve, difficult to verify quickly, and difficult to industrialize into a new stage that is computable, iterable, and implementable.
Scenario verification has been advanced in multiple directions such as materials and semiconductors.
In terms of commercialization path, FieldQuantum (量坤科技) will first enter high-value R&D scenarios, validate technical capabilities and industry value through benchmark projects, and then gradually consolidate them into standardized platform capabilities. Currently, the company is advancing validation in multiple materials and scientific computing scenarios. These scenarios are generally characterized by long R&D cycles, large candidate spaces, high experimental costs, and complex mechanisms, making them suitable for improving R&D efficiency through the synergy of AI, HPC, and quantum algorithms.
FieldQuantum (量坤科技) believes that the value of scientific intelligence ultimately needs to be applied to real-world industrial problems. The company will continue to prioritize high R&D-intensity industries such as materials, chemicals, biomedicine, and high-end manufacturing, advancing business implementation centered on clear customer needs, verifiable technical metrics, and reusable platform capabilities.
With this round of financing as a new starting point, the company will continue to promote the implementation of Quantum × AI × HPC converged innovation in real-world scientific research and industrial scenarios, and drive the consolidation of existing technical capabilities into a unified scheduling platform, automated research systems, and industry solutions. At the same time, FieldQuantum (量坤科技) will expand cooperation in R&D-intensive fields such as new materials, biomedicine, semiconductors, and high-end manufacturing. It will recruit interdisciplinary talents with experience in quantum computing, scientific computing, foundation models, systems engineering, and industrial R&D to support the company’s transition from technology verification to platform-based development, thereby providing support for China to build stronger original innovation capabilities and industrial transformation capabilities in the fields of scientific intelligence and frontier computing.
“The ultimate computing power of this era is likely to come from AI machines under quantum conditions. With the rapid development of quantum computer technology, the connection between quantum and AI is becoming increasingly close: ‘AI for Quantum’ is already playing a role in circuit design and error correction algorithms; ‘Quantum for AI’ utilizes quantum embedding to integrate with classical computing to provide high-precision data, further expanding the model capabilities and application boundaries of AI4S. In the long term, we can look forward to deeper integration modalities such as quantum neural networks to solve the most complex practical problems.
FieldQuantum possesses a Tsinghua-based team with an interdisciplinary academic background in quantum AI and industrialization experience. Within just a few months of its establishment, the company has reached international first-class standards in technologies such as high-precision simulation of microscopic systems and quantum simulators. We look forward to FieldQuantum continuously exploring in application fields, advancing ‘quantum-supercomputing integration,’ and becoming a leader in the domestic quantum AI field.”
—Li Zhu, Founding Partner of InnoAngel Fund (英诺天使基金)
“The deep integration of quantum and AI is becoming a paradigm for reconstructing industrial intelligence and is a future industry direction prioritized by the state. The FieldQuantum team possesses both quantum computing software and hardware capabilities, along with an AI for Science vision, possessing composite capabilities that are scarce in the industry. We look forward to working with FieldQuantum to deeply empower the entire automotive industry chain with the quantum + AI technology paradigm, injecting core technological momentum into the second half of automotive intelligence.”
—Dong Yinkang, General Manager of Investment at Guoqi Investment (国汽投资)
“BV remains bullish on the integration of AI and new computing paradigms. Quantum + AI is currently moving from concept to application, becoming an important path to breaking through computing power bottlenecks and accelerating the solution of complex problems. The FieldQuantum team possesses extensive project experience in quantum hardware and software, as well as cutting-edge AI algorithms, and has the capability to drive the commercial implementation of Quantum + AI. We look forward to FieldQuantum driving industrial breakthroughs through technological innovation and building the next-generation intelligent computing ecosystem.”
—Gao Xue, Managing Partner at Baidu Ventures (BV) (百度风投)
“Against the backdrop of the current developmental stage of quantum hardware, FieldQuantum (量坤科技) has blazed a new trail by innovatively integrating quantum simulation with cutting-edge AI algorithms, opening up practical application paths for quantum computing in fields such as materials science, biomedicine, and chemical computing. The company’s founding team possesses deep expertise in both quantum software and hardware R&D and materials computing, aligning highly with industry needs. We are very optimistic about the broad prospects of FieldQuantum (量坤科技) in landing quantum computing applications at this stage.”
—Ding Yiting, Managing Partner of Shuimu Tsinghua Alumni Fund (水木清华校友基金)
“Congratulations to FieldQuantum (量坤科技) for successfully completing its Angel and Angel+ round series financing. Currently, quantum computing is moving from single-point physical verification into a new stage of systems engineering featuring the coordinated development of hardware, software, algorithms, and applications. Superimposed with the accelerated evolution of large models and AI for Science, the paradigm for solving major scientific problems is undergoing structural transformation. FieldQuantum (量坤科技) has precisely positioned itself at the key intersection of Quantum × AI × HPC convergence. It is an extremely rare composite team in China that combines top-tier academic backgrounds in quantum computing, industrialization experience from first-tier tech giants, and cross-disciplinary organizational capabilities. Lighthouse Capital will firmly accompany FieldQuantum (量坤科技) in making continuous breakthroughs in its key positioning during the era of Scientific Intelligence, working together to define the ultimate outcome of the Quantum + AI integrated industry.”
—Lou Yang, Partner at Lighthouse Capital (光源资本)