MicroCloud Hologram Inc. Develops Quantum-Empowered Big Data Real-Time Computing System

Rhea-AI Summary

MicroCloud Hologram (NASDAQ: HOLO) announced development of a quantum-empowered big data real-time computing system that integrates quantum sensing, quantum error correction, a quantum-enhanced real-time computing engine, a quantum algorithm library, quantum visualization, and a distributed fault-tolerant architecture.

The release cites specific performance claims: data cleaning reduced from hour-level to minute-level, computational energy efficiency improved by ~3 orders of magnitude, model training speed improved by ~40%, and the company reports cash reserves exceeding 3 billion RMB with plans to invest over 400 million USD in quantum, blockchain, and related technologies.

Positive

• Data cleaning time compressed from hours to minutes
• Computational energy efficiency improved by ~3 orders of magnitude
• Model training speed improved by ~40%
• Cash reserves exceed 3 billion RMB
• Planned investment of >400 million USD into quantum and related tech

Negative

• Planned >400 million USD spend reduces cash reserves available for other uses
• Technology performance claims are forward-looking and subject to risks and uncertainties

SHENZHEN, China, Nov. 17, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, leverages their own technical accumulation in the fields of quantum computing and big data to develop a quantum-empowered big data real-time computing system. Through the deep integration of quantum technology and data processing technology, it achieves a leapfrog improvement in data efficiency, becoming a core support tool for digital transformation in various industries.

The system developed by HOLO has its core logic in integrating the parallelism and entanglement advantages of quantum technology into the entire data processing workflow to achieve rapid mining and precise transformation of data value. In actual operation, HOLO innovatively adopts quantum sensing technology to integrate multi-source heterogeneous data from IoT terminals, enterprise business systems, public service platforms, and others into the self-developed data middleware—this step particularly introduces quantum error correction coding technology, leveraging the rapid identification capability of qubits for data outliers, making the data cleaning efficiency several times higher than traditional methods while ensuring the security of data transmission and storage. Subsequently, the preprocessed data is fed into HOLO's self-designed quantum-enhanced real-time computing engine, completing complex analysis operations through a quantum parallel computing mode, and finally relying on HOLO's developed quantum visualization tools to present the results in forms such as interactive charts and dynamic models, helping users efficiently obtain data insights.

As a core achievement of HOLO's technology layout, this system adopts a self-designed "five-module collaborative architecture", with each module deeply integrating the quantum technology developed by HOLO, forming a complete closed loop of "data processing-computation analysis-value output". Specifically, the data preprocessing module is developed by HOLO in collaboration with the quantum technology team, integrating quantum key encryption and data quality assessment functions; the quantum-enhanced real-time computing engine is HOLO's core technological breakthrough, supporting hybrid programming of quantum and classical circuits; the quantum algorithm library module integrates HOLO's self-developed quantum machine learning algorithms and optimization algorithms; the quantum visualization module is equipped with HOLO's original quantum entanglement state simulation tools; and the distributed quantum fault-tolerant architecture module adopts HOLO's optimized quantum error correction scheme. The five major modules achieve collaborative linkage through HOLO's self-developed standardized interfaces, providing users with efficient full-process services from data input to result output.

From a technical details perspective, the performance advantages of each module all originate from HOLO's technological innovations. In the data preprocessing module, HOLO's self-developed quantum data cleaning algorithm, leveraging quantum superposition states, can simultaneously process anomaly detection for billions of data entries, compressing the traditional hour-level cleaning time to the minute level; at the same time, the module adopts HOLO's self-designed quantum key distribution protocol to ensure absolute security in the data collection and transmission process. The quantum-enhanced real-time computing engine, as the core of the system, is HOLO's "quantum-classical heterogeneous architecture" tailored for big data scenarios—the quantum processing unit (QPU) is responsible for executing complex tasks such as large-scale matrix operations and combinatorial optimization, the classical processing unit (CPU) handles logic control and data scheduling, and the two achieve millisecond-level collaboration through HOLO's developed quantum-classical interface, with computational energy efficiency improved by three orders of magnitude compared to traditional engines. In the quantum algorithm library, HOLO's self-developed algorithms such as quantum neural networks and quantum support vector machines can extract more hidden features under the same data volume, with model training speed improved by about 40% compared to traditional algorithms. In addition, HOLO's customized distributed quantum fault-tolerant architecture for the system adopts an optimized surface code quantum error correction technology, significantly reducing the qubit error rate and ensuring stable system operation.

In the future, HOLO plans to further deepen research on quantum-classical hybrid computing, optimize algorithm adaptability in fields such as intelligent manufacturing and the metaverse, while promoting the integration of the system with quantum communication networks to build a more secure and efficient data processing ecosystem. With the continuous iteration of technology, HOLO is expected to play a leading role in the fusion of the digital economy and quantum industry through this system, providing stronger technical support for the transformation and upgrading of various industries.

About MicroCloud Hologram Inc.

MicroCloud Hologram Inc. (NASDAQ: HOLO) is committed to the research and development and application of holographic technology. Its holographic technology services include holographic light detection and ranging (LiDAR) solutions based on holographic technology, holographic LiDAR point cloud algorithm architecture design, technical holographic imaging solutions, holographic LiDAR sensor chip design, and holographic vehicle intelligent vision technology, providing services to customers offering holographic advanced driving assistance systems (ADAS). MicroCloud Hologram Inc. provides holographic technology services to global customers. MicroCloud Hologram Inc. also provides holographic digital twin technology services and owns proprietary holographic digital twin technology resource libraries. Its holographic digital twin technology resource library utilizes a combination of holographic digital twin software, digital content, space data-driven data science, holographic digital cloud algorithms, and holographic 3D capture technology to capture shapes and objects in 3D holographic form. MicroCloud Hologram Inc. focuses on developments such as quantum computing and quantum holography, with cash reserves exceeding 3 billion RMB, and plans to invest more than 400 million in USD from the cash reserves to engage in blockchain development, quantum computing technology development, quantum holography technology development, and derivatives and technology development in frontier technology fields such as artificial intelligence AR. MicroCloud Hologram Inc.'s goal is to become a global leading quantum holography and quantum computing technology company.

Safe Harbor Statement

This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as "may," "will," "intend," "should," "believe," "expect," "anticipate," "project," "estimate," or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company's expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company's goals and strategies; the Company's future business development; product and service demand and acceptance; changes in technology; economic conditions; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic; financial condition and results of operations; the expected growth of the holographic industry and business conditions in China and the international markets the Company plans to serve and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by the Company with the Securities and Exchange Commission ("SEC"), including the Company's most recently filed Annual Report on Form 10-K and current report on Form 6-K and its subsequent filings. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company's filings with the SEC, which are available for review at www.sec.gov. The Company undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof.

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SOURCE MicroCloud Hologram Inc.

FAQ

What did MicroCloud Hologram (HOLO) announce on November 17, 2025?

HOLO announced a quantum-empowered big data real-time computing system integrating quantum sensing, error correction, QPU-CPU hybrid computing, and visualization.

How much cash does MicroCloud Hologram (HOLO) report and how much will it invest?

HOLO reports cash reserves exceeding 3 billion RMB and plans to invest over 400 million USD in quantum, blockchain, and related technologies.

What performance improvements does HOLO claim for its system?

HOLO cites data cleaning cut from hours to minutes, energy efficiency improved by ~3 orders of magnitude, and model training speed up about 40%.

What modules make up HOLO's five-module architecture and why do they matter to investors?

The five modules are data preprocessing, quantum-enhanced real-time computing engine, quantum algorithm library, quantum visualization, and distributed fault-tolerant architecture, together claiming end-to-end quantum-enabled data processing.

Will HOLO integrate its system with other networks or industries?

HOLO plans further research on quantum-classical hybrid computing and integration with quantum communication networks for industrial use cases like intelligent manufacturing and the metaverse.