SHENZHEN, ChinaJune 12, 2026 /PRNewswire/ — Recently, Xunce Technology (3317.HK), a leading domestic AI real-time data infrastructure and analytics service provider, and TuringQ, a pioneer in photonic quantum computing, officially signed a strategic cooperation agreement in Shenzhen. The two parties will take the “Quantum + Token Factory” as the core framework, pioneering the deep integration of quantum technology with the industrialized production system of tokens. Leveraging a new model of industrial intelligent application ecosystem driven by the dual engines of “quantum computing + quantum security,” they will jointly create a “Quantum + Token Factory” hardware-software integrated system solution. This initiative aims to vigorously promote the deep integration of quantum technology with multiple industries such as energy, finance, healthcare, biology, and transportation, empowering cross-industry digital and intelligent transformation.
From Classical Computing to Quantum-Classical Hybrid: Exploring a New Computing Architecture for Token Factories
Currently, artificial intelligence is transitioning from the model innovation phase to the industrial application phase. As the capabilities of large models continue to improve, industry competition is shifting from model parameter scale to data and computing efficiency. With the sustained growth in data token scale, large model training, complex reasoning, and intelligent decision-making demand higher computing efficiency. How to achieve efficient training and secure, trustworthy application of massive tokens in industrial-grade scenarios is a key bottleneck in current AI industrialization.
This strategic partnership between Xunce Technology and TuringQ will innovatively explore the integrated application of quantum computing and the token industrialized production system. The two parties will deeply integrate TuringQ’s technological expertise in quantum computing and quantum security with Xunce Technology’s industrial capabilities in AI real-time data infrastructure and token industrialized production. They will collaborate around the fusion and innovation of quantum computing and AI, providing an innovative path for the construction of next-generation intelligent computing infrastructure.
Unlike traditional AI infrastructure centered on GPU clusters, the “Quantum + Token Factory” will explore the introduction of a quantum-classical hybrid computing architecture. It will leverage the advantages of quantum computing in specific tasks such as combinatorial optimization, high-dimensional sampling, and complex system modeling, working in synergy with classical computing. Quantum computing will handle the solving of specific high-complexity problems, while classical computing will manage parameter optimization, model training, and large-scale computational tasks. By integrating the computational advantages of quantum algorithms for specific problems with the large-scale processing power of classical computing, this approach will provide new technical pathways for industry model optimization, complex decision analysis, and scientific computing, driving AI applications to extend into higher-dimensional complex decision-making scenarios.
Technology Foundation + Scenario Interface: Bridging Data Collection to Intelligent Decision-Making
In the innovative system built by both parties, Xunce Technology’s TokenOS operating system and Token Factory have already established an industrialized pipeline of “raw data – cleaning – standardization – scenario tokens,” solving the issues of data assetization and large-scale supply. TuringQ, relying on its self-developed TuringQ Gen2 large-scale hybrid integrated photonic quantum computer and DeepQuantum programming framework, provides quantum-classical hybrid computing power, exploring computational advantages in tasks such as certain complex optimizations, high-dimensional sampling, and complex system modeling.
The capabilities of both parties will synergize at three levels:
Computing Synergy Layer. The multi-computing heterogeneous scheduling architecture of the Token Factory requires intelligent task distribution among quantum processing units (QPUs), GPUs, and CPUs. TuringQ will explore the application of quantum algorithms, quantum AI hybrid models, and quantum-classical hybrid tools in tasks such as combinatorial optimization, high-dimensional sampling, and feature space search. Xunce Technology’s classical computing cluster will handle large-scale parallel computing and end-to-end scheduling. Through the integration of the DeepQuantum framework with the TokenOS operating system, quantum computing power will be connected as a heterogeneous computing node within the token production system.
Security Synergy Layer. In the circulation of tokens across scenarios like finance and healthcare, data security is an inviolable baseline. TuringQ provides post-quantum cryptography (PQC) resistant encryption, quantum true random number generation, and national cryptographic algorithms, building a trusted defense line from hardware isolation to system evidence preservation. Xunce Technology will embed security capabilities into the entire chain of token production, including collection, transmission, and storage, ensuring compliance and security requirements for high-value industry clients. This will achieve deep alignment between security capabilities and business scenarios.
Scenario Synergy Layer. Xunce Technology, acting as the scenario interface, leverages its TokenOS operating system, AI full-chain data services, and large-scale deployment capabilities to handle lightweight integration, system adaptation, and end-user validation. It will transform cutting-edge quantum technologies into standardized products and services directly callable by various industries, lowering the barrier to quantum technology application. Based on these scenario needs, TuringQ will perform targeted optimization of quantum algorithms, enabling quantum computing power to directly serve quantifiable and deliverable industry problems.
According to the strategic cooperation agreement, the two parties will engage in deep collaboration around technology implementation, industry ecosystems, joint solutions, and joint research and development. They will jointly promote scenario innovation and commercial applications in fields such as financial asset management, biomedicine, and electricity trading. They will also collaborate on quantum fusion technology, using quantum encryption to protect data security and the intellectual property of vertical small models, and employing quantum-inspired algorithms to reduce model inference costs. Together, they will launch a “Quantum + TokenOS” integrated machine. Additionally, they will jointly advance vertical model training with quantum-classical integrated computing power, create “quantum + classical fusion” industry solutions, establish a joint laboratory, and explore cutting-edge directions such as quantum computing empowering AI large models, quantum-enhanced machine learning, and trusted data circulation. This will drive the formation of replicable and scalable solutions for the “Quantum + Token Factory” in key industries.
Xunce Technology (3317.HK), founded in 2016, is a leading domestic AI real-time data infrastructure and analytics service provider. The company has built full-chain data service capabilities from real-time data collection, cleaning, and standardization to real-time computing and large model fine-tuning. It holds the top position in China’s real-time data infrastructure and analytics market for the asset management industry, with business covering high-value sectors such as finance, urban operations, high-end manufacturing, healthcare, low-altitude economy, and electric power energy. The TokenOS operating system establishes an industrialized production system from raw data to scenario tokens, efficiently converting enterprise data into data tokens directly callable by large models, making large model outputs measurable. In the future, Xunce Technology will collaborate with industry leaders to build vertical scenario Token factories, promoting large-scale commercial deployment of scenario Token factories across industries. This strategic cooperation signifies that, following areas like embodied intelligence, commercial aerospace, and the low-altitude economy, Xunce Technology is further expanding its strategic footprint into the cutting-edge field of quantum computing.
TuringQ, founded in 2021 by Professor Jin Xianmin from Shanghai Jiao Tong University, is a domestic leader in the industrialization of photonic quantum computing. With photonic chips and quantum computing as its core foundation, the company has pioneered a fully self-controllable, software-hardware integrated technology system covering “chips, algorithms, systems, and computing clusters.” The company has established three major business segments: quantum computing, optical connectivity, and quantum security. In quantum computing, it has launched the TuringQ Gen2 large-scale hybrid integrated photonic quantum computer and the DeepQuantum programming framework, building a “quantum-classical” hybrid intelligent computing solution. In optical connectivity, it has independently developed core products like optical connectivity and optical computing, creating 1.6T/3.2T high-speed optical modules to empower ultra-high-speed GPU interconnection in AI data centers and support the network infrastructure of Token factories. In quantum security, based on quantum true random numbers, national cryptographic algorithms, and post-quantum cryptography (PQC) algorithms, it has formed quantum data security solutions. The company is committed to driving the deep integration of “chips, optics, intelligence, and computing,” leading quantum technology from the laboratory to commercialization, and comprehensively driving a transformation in computing power.
This strategic cooperation marks a landmark exploration of the integration of quantum computing with data elements and the AI industry. In the future, both parties will leverage data resources as a foundation, quantum computing power as support, and industry applications as a guide. They will close the loop from quantum technology R&D to industrial implementation, promoting the deep integration and industrialization of quantum technology with AI technology, and forming replicable and scalable industry solutions.