本源量子

本源量子 China’s first quantum computing company.

The key technical parameters of the "Origin Wukong-180" are as follows: it is equipped with a single-core superconductin...
21/05/2026

The key technical parameters of the "Origin Wukong-180" are as follows: it is equipped with a single-core superconducting quantum chip featuring 180 computational qubits, achieving hundred-qubit-scale quantum computing within a single-chip architecture. It possesses 180 computational qubits that are directly available for practical operations, with single-qubit gate fidelity of 99.9% and two-qubit gate fidelity of 99%; additionally, it features 251 coupling qubits.

https://qcloud.originqc.com.cn/en/wukong180

China's Fourth-Generation Domestically Developed Superconducting Quantum Computer, "Origin Wukong-180," Goes Online.Deve...
09/05/2026

China's Fourth-Generation Domestically Developed Superconducting Quantum Computer, "Origin Wukong-180," Goes Online.

Developed by Origin Quantum Computing Technology (Hefei) Co., Ltd., this quantum computer features a single core equipped with 180 computational qubits directly usable for practical calculations. It boasts a single-qubit logic gate fidelity of 99.9% and a two-qubit logic gate fidelity of 99%, and is further augmented by 251 coupling qubits, resulting in significantly enhanced computing power and stability.

https://qcloud.originqc.com.cn/en/wukong180

Domestically Developed Quantum Computing Measurement and Control System Completes IterationQuantum computing measurement...
26/04/2026

Domestically Developed Quantum Computing Measurement and Control System Completes Iteration

Quantum computing measurement and control systems are primarily deployed within the field of quantum computing; they provide the operational environment and interfaces for quantum chips, as well as the precise signal generation, acquisition, control, and processing required by these chips. By enabling quantum chips to maximize their performance capabilities, these systems serve as an indispensable component of any quantum computer.

The indigenous quantum computer "Origin Wukong" has been equipped with AI computing capabilities.Recently, "Origin Wukon...
23/04/2026

The indigenous quantum computer "Origin Wukong" has been equipped with AI computing capabilities.

Recently, "Origin Wukong"—China's third-generation independently developed superconducting quantum computer, created by Origin Quantum—has preliminarily established AI computing capabilities. This marks the first time that my country's indigenous quantum computing power has systematically integrated with the AI ​​application ecosystem, signifying a pivotal step in the evolution of the nation's independent quantum computing—moving from merely "usable" to truly "user-friendly"—and propelling the industrialization of quantum computing technology into a new phase.

本源量子云平台聚焦于量子计算云服务、融合云服务、专用云服务,为用户提供量子学习资源、编程工具、算力服务、应用开发等全流程服务,致力于推动量子计算的创新和应用,探索量子计算的无限潜力。

Origin Quantum Releases Proprietary Quantum Machine Learning Framework VQNet 2.17Amidst the industrial wave marked by th...
19/04/2026

Origin Quantum Releases Proprietary Quantum Machine Learning Framework VQNet 2.17

Amidst the industrial wave marked by the deep convergence of quantum computing and artificial intelligence, the collaborative operation of quantum computers and classical supercomputers is emerging as a pivotal avenue for pushing the boundaries of computational power and tackling complex real-world problems. "Quantum-Supercomputer Fusion" represents the core pathway for realizing this collaboration.

Origin Quantum has partnered with Beihang University to deploy an integrated quantum computing teaching and research pla...
12/04/2026

Origin Quantum has partnered with Beihang University to deploy an integrated quantum computing teaching and research platform within the university's educational and research activities.

This integrated platform was developed specifically to address the current challenges faced by universities in conducting quantum computing instruction and research—namely, the lack of a comprehensive foundational research environment and a complete ecosystem toolchain.

Origin Quantum, in collaboration with multiple partners, has innovatively proposed the HiMA hierarchical microarchitectu...
12/04/2026

Origin Quantum, in collaboration with multiple partners, has innovatively proposed the HiMA hierarchical microarchitecture, solving the challenge of scalable qubit control.

Recently, a research team led by Origin Quantum—in collaboration with the University of Science and Technology of China, the Institute of Artificial Intelligence at the Hefei Comprehensive National Science Center, and other institutions—innovatively proposed a novel Hierarchical Microarchitecture (HiMA). This architecture effectively overcomes control bottlenecks encountered during the scaling of qubits, thereby enhancing qubit scalability and providing core technical support for the practical development of quantum computers at the kilobit scale and beyond.

The "Origin Pilot" Quantum Computer Operating System Is Now Available for Online Download."Origin Pilot"—China's first i...
05/04/2026

The "Origin Pilot" Quantum Computer Operating System Is Now Available for Online Download.

"Origin Pilot"—China's first independently developed operating system for quantum computers—has officially been made available for online download. As the world's first quantum computer operating system released for public download, it will effectively lower the barriers to development and accelerate the independent construction of China's quantum computing ecosystem.

05/04/2026

Origin Quantum's self-developed quantum machine learning framework, VQNet 2.17, focuses on “quantum-classical integration" for computing power synergy, providing an efficient and easy-to-use industrialization solution.

The quantum machine learning framework VQNet, independently developed by Origin Quantum, has been upgraded to version 2.17, centering on “quantum-classical integration" to deliver an efficient and user-friendly solution for industrial deployment. The new version significantly improves hybrid training efficiency in Linux GPU environments, saving users time costs. By restructuring distributed communication operators and optimizing video memory management, it enables training of 30qubit variational quantum circuits using just two consumergrade 24 GB graphics cards, breaking through hardware limitations faced by similar products. The team also innovatively proposed a quantumtensor hybrid parameter finetuning method, integrating the highdimensional representation capability of quantum parameter spaces into a hundredbillionparameter classical large model. This method outperforms classical models of the same scale on professional tasks, validating the application potential of “quantum + AI.” The efficient capabilities of VQNet 2.17 can broadly support fields such as autonomous driving, natural language processing, financial modeling, and drug discovery, accelerating the transition of quantum technology from laboratories to industries.

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