Leading AI real-time data infrastructure and analytics provider Xunce Technology (3317.HK) has officially entered into a strategic cooperation agreement with Turing Quantum, a frontrunner in optical quantum computing, in Shenzhen.
The partnership will center on a "Quantum + Token Factory" framework, aiming to pioneer the deep integration of quantum technology with an industrial-scale token production system.
This initiative seeks to establish a novel industrial intelligent application ecosystem driven by both "quantum computing and quantum security," jointly developing a comprehensive, integrated hardware-software solution.
The collaboration is designed to vigorously promote the deep fusion of quantum technology across multiple sectors including energy, finance, healthcare, biotechnology, and transportation, empowering cross-industry digital and intelligent transformation.
Transitioning from Classical to Hybrid Quantum-Classical Computing for New Token Factory Architectures
Artificial intelligence is currently progressing from a phase of model innovation into one of industrial application.
As the capabilities of large language models continue to advance, industry competition is shifting focus from model parameter scale to data and computational efficiency.
The growing scale of data tokens imposes higher demands on computational power for large model training, complex reasoning, and intelligent decision-making.
A key bottleneck in current AI industrialization is achieving efficient training and secure, trustworthy application of massive tokens in industrial-grade scenarios.
This strategic alliance between Xunce Technology and Turing Quantum will innovatively explore the integrated application of quantum computing within token industrial production systems.
By deeply integrating Turing Quantum's technical expertise in quantum computing and quantum security with Xunce Technology's industrial capabilities in AI real-time data infrastructure and tokenized industrial production, the partnership will collaborate on the fusion and innovation of quantum computing and artificial intelligence, offering a novel pathway for next-generation intelligent computing infrastructure.
Diverging from traditional AI infrastructure centered on GPU clusters, the "Quantum + Token Factory" will explore the introduction of a hybrid quantum-classical computing architecture.
This approach aims to leverage the advantages of quantum computing for specific tasks such as combinatorial optimization, high-dimensional sampling, and complex system modeling, while synergizing with classical computing.
Quantum computing would handle specific high-complexity problem-solving, whereas classical computing would manage parameter optimization, model training, and large-scale computational tasks.
By merging the computational strengths of quantum algorithms for particular problems with the large-scale processing power of classical computing, this fusion provides a new technical pathway for industry model optimization, complex decision analysis, and scientific computing, pushing AI applications into higher-dimensional, complex decision-making scenarios.
Integrating Technology Foundation with Scenario Interfaces from Data Collection to Intelligent Decision-Making
Within the innovative system being constructed, Xunce Technology's TokenOS operating system and Token Factory have already established an industrial pipeline covering "raw data - cleaning - standardization - scenario token," addressing the issues of data assetization and scalable supply.
Turing Quantum leverages its self-developed TuringQ Gen2 large-scale hybrid integrated optical quantum computer and the DeepQuantum programming framework to provide hybrid quantum-classical computational power, exploring its advantages in tasks involving complex optimization, high-dimensional sampling, and complex system modeling.
The capabilities of the two companies will synergize across three layers:
The computational synergy layer requires the Token Factory's multi-computing heterogeneous scheduling architecture to intelligently distribute tasks between quantum processing units, GPUs, and CPUs.
Turing Quantum will explore applications in tasks like combinatorial optimization, high-dimensional sampling, and feature space search using quantum algorithms, quantum-AI hybrid models, and quantum-classical hybrid tools.
Xunce Technology's classical computing clusters will be responsible for large-scale parallel computing and full-link scheduling.
Through the integration of the DeepQuantum framework with the TokenOS operating system, quantum computing power will be incorporated as a heterogeneous computing node into the token production system.
The security synergy layer is critical, as data security is an absolute imperative during token circulation in scenarios like finance and healthcare.
Turing Quantum will provide Post-Quantum Cryptography encryption, quantum true random number generation, and national cryptographic algorithms to build a trusted defense line from hardware isolation to system evidence storage.
Xunce Technology will embed security capabilities into every stage of token production—collection, transmission, and storage—ensuring compliance and security needs for high-value industry clients, achieving deep adaptation of security capabilities to business scenarios.
The scenario synergy layer positions Xunce Technology as the scenario interface.
Leveraging its TokenOS operating system, full-link AI data services, and large-scale implementation capabilities, it will be responsible for lightweight access, system adaptation, and end-user validation, transforming cutting-edge quantum technology into standardized products and services directly usable across industries, thereby lowering the barrier to quantum technology application.
Based on these scenario requirements, Turing Quantum will conduct targeted optimization of quantum algorithms, enabling quantum computing power to directly serve quantifiable, deliverable industry problems.
According to the strategic cooperation agreement, the two parties will engage in deep collaboration across areas including technology implementation, industry ecosystems, joint solutions, and co-development, jointly advancing scenario innovation and commercial application in fields such as financial asset management, biopharmaceuticals, and power trading.
They will also collaborate on quantum fusion technology, utilizing quantum encryption to protect data security and the intellectual property of vertical small models, and employing quantum-inspired algorithms to reduce model inference costs, jointly launching an integrated "Quantum + TokenOS" appliance.
Furthermore, they will jointly promote the training of vertical models using quantum-intelligence fused computing power, create "quantum + classical fusion" industry solutions, establish a joint laboratory, and explore frontier areas such as quantum computing empowering large AI models, quantum-enhanced machine learning, and trusted data circulation.
These efforts aim to drive the "Quantum + Token Factory" towards forming replicable, scalable solutions in key industries.
Xunce Technology (3317.HK), founded in 2016, is a leading domestic provider of AI real-time data infrastructure and analytics services.
The company has built full-link data service capabilities spanning real-time data collection, cleaning, standardization, real-time computing, and large model fine-tuning.
It holds the leading position in China's asset management industry for real-time data infrastructure and analytics, with business covering high-value sectors including finance, urban operations, advanced manufacturing, healthcare, the low-altitude economy, and power and energy.
The TokenOS operating system has established an industrial production system from raw data to scenario-specific tokens, driving the efficient conversion of enterprise data into data tokens directly usable by large models and making large model outputs measurable.
In the future, Xunce Technology plans to collaborate with industry leaders across various sectors to build vertical scenario token factories, promoting the large-scale commercial implementation of token factories in different industries.
This strategic partnership signifies Xunce Technology's further expansion of its strategic footprint into the frontier field of quantum computing, following its ventures into embodied intelligence, commercial aerospace, and the low-altitude economy.
Turing Quantum, founded in 2021 by Professor Jin Xianmin of Shanghai Jiao Tong University, is a pioneer in the industrialization of optical quantum computing in China.
With photonic chips and quantum computing as its core technological foundation, the company has pioneered a fully integrated, self-controlled technology stack encompassing "chips, algorithms, complete machines, and computing clusters."
The company has established three business segments: quantum computing, optical connectivity, and quantum security.
In quantum computing, it has launched the TuringQ Gen2 large-scale hybrid integrated optical quantum computer and the DeepQuantum programming framework to build hybrid quantum-classical intelligent computing solutions.
In optical connectivity, it independently develops core products like optical interconnects and optical computing, creating 1.6T/3.2T high-speed optical modules to empower ultra-high-speed GPU interconnects in AI data centers and support the network infrastructure for Token Factories.
In quantum security, based on quantum true random number generation, national cryptographic algorithms, and Post-Quantum Cryptography algorithms, it has formed quantum data security solutions.
The company is committed to promoting the deep integration of "chips, light, intelligence, and computing," leading quantum technology from the laboratory to commercialization, and comprehensively driving the transformation of computing power.
This strategic cooperation represents a landmark exploration in the fusion of quantum computing with data elements and the artificial intelligence industry.
Moving forward, the two parties will use data resources as the foundation, quantum computing power as the support, and industry applications as the driving force, aiming to close the loop from quantum computing technology R&D to industrial implementation.
This effort seeks to promote the deep integration and industrial application of quantum and AI technologies, forming replicable, scalable industry solutions.
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