MicroCloud Hologram Inc. Develops Quantum-Empowered Big Data Real-Time Computing System
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.
MicroCloud Hologram (NASDAQ: HOLO) ha annunciato lo sviluppo di un sistema di calcolo in tempo reale su big data potenziato da quantum che integra sensori quantistici, correzione degli errori quantistici, un motore di calcolo in tempo reale potenziato da quantum, una libreria di algoritmi quantistici, visualizzazione quantistica e un'architettura distribuita tollerante ai guasti.
La nota stampa riporta claims specifici sulle prestazioni: pulizia dei dati ridotta da livelli orari a livelli minuti, efficienza energetica computazionale migliorata di circa 3 ordini di grandezza, velocità di addestramento del modello aumentata di circa il 40%, e l'azienda riporta riserve di cassa superiori a 3 miliardi di RMB con piani di investire oltre 400 milioni di USD in tecnologie quantistiche, blockchain e tecnologie correlate.
MicroCloud Hologram (NASDAQ: HOLO) anunció el desarrollo de un sistema de computación en tiempo real sobre grandes datos potenciado por cuántica que integra sensado cuántico, corrección de errores cuánticos, un motor de computación en tiempo real mejorado por cuántica, una biblioteca de algoritmos cuánticos, visualización cuántica y una arquitectura distribuida tolerante a fallos.
El comunicado cita reclamos de rendimiento específicos: la limpieza de datos se redujo de niveles de hora a niveles de minutos, la eficiencia energética computacional mejoró en aprox. 3 órdenes de magnitud, la velocidad de entrenamiento del modelo aumentó en aprox. 40%, y la empresa reporta reservas de efectivo superiores a 3 mil millones de RMB con planes de invertir más de 400 millones de USD en tecnologías cuánticas, blockchain y tecnologías relacionadas.
마이크로클라우드 홀로그램(NASDAQ: HOLO)은 양자센싱, 양자오류수정, 양자향상 실시간 컴퓨팅 엔진, 양자 알고리즘 라이브러리, 양자 시각화 및 분산 내결함 아키텍처를 통합하는 양자 기반 빅데이터 실시간 계산 시스템의 개발을 발표했습니다.
발표 자료는 구체적인 성능 주장으로 데이터 정제가 시간대에서 분 단위로 감소했고, 계산 에너지 효율성이 약 3개의 오더 만큼 개선되었으며, 모델 학습 속도가 약 40% 증가했다고 밝히고, 회사는 현금 보유고가 30억 위안(RMB)를 넘어서는 것으로 보고하며 양자, 블록체인 및 관련 기술에 4,000만 달러(USD) 이상을 투자할 계획이라고 밝힙니다.
MicroCloud Hologram (NASDAQ: HOLO) a annoncé le développement d'un système informatique en temps réel sur grandes données, renforcé par l'informatique quantique qui intègre la détection quantique, la correction d'erreurs quantiques, un moteur de calcul en temps réel optimisé par le quantique, une bibliothèque d'algorithmes quantiques, une visualisation quantique et une architecture distribuée tolérante aux pannes.
Le communiqué évoque des revendications de performance spécifiques : le nettoyage des données est passé de niveau heure à niveau minute, l'efficacité énergétique du calcul s'est améliorée d'environ 3 ordres de grandeur, la vitesse d'entraînement des modèles s'est améliorée d'environ 40%, et l'entreprise indique des réserves de trésorerie supérieures à 3 milliards de RMB avec des plans d'investir plus de 400 millions USD dans les technologies quantiques, la blockchain et les technologies associées.
MicroCloud Hologram (NASDAQ: HOLO) hat die Entwicklung eines quantengestützten Big-Data-Echtzeit-Computersystems angekündigt, das Quanten-Sensing, Quanten-Fehlerkorrektur, eine quantenverbesserte Echtzeit-Computing-Engine, eine Bibliothek quantenbasierter Algorithmen, Quantenvisualisierung und eine verteilte fehlertolerante Architektur integriert.
Die Veröffentlichung nennt spezifische Leistungsversprechen: Datenbereinigung von stundenblatt auf minutenlevel reduziert, Energieeffizienz der Berechnungen um ca. 3 Größenordnungen verbessert, Modell-Training-Geschwindigkeit um ca. 40% gesteigert, und das Unternehmen meldet Barreserven von über 3 Milliarden RMB, mit Plänen, über 400 Millionen USD in Quantentechnologien, Blockchain und verwandte Technologien zu investieren.
MicroCloud Hologram (NASDAQ: HOLO) أعلنت عن تطوير نظام حوسبة في الزمن الحقيقي على بيانات كبيرة معزز بالكمّ الذي يدمج الاستشعار الكمّي، تصحيح الأخطاء الكمّي، محرك حوسبة زمنية حقيقي معزز بالكمّ، مكتبة خوارزميات كمّية، تصور كمّي، وهندسة موزّعة تتحمل الأخطاء.
يشير البيان الصحفي إلى ادعاءات أداء محددة: تنظيف البيانات انخفض من مستويات ساعة إلى دقائق، كفاءة الطاقة الحسابية تحسّنت بمقدار حوالي ثلاث أوامر من حيث الحجم، سرعة تدريب النماذج تحسّنت بمقدار حوالي 40%، وتذكر الشركة وجود احتياطيات نقدية تفوق ثلاثة مليارات يوان مع خطط لاستثمار أكثر من 400 مليون دولار أمريكي في تقنيات الكم والبلوك تشين وما يترتب عليه.
- 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
- Planned >400 million USD spend reduces cash reserves available for other uses
- Technology performance claims are forward-looking and subject to risks and uncertainties
Insights
HOLO announces a quantum-enhanced big-data real-time computing system and substantial planned investment from large cash reserves.
MicroCloud Hologram Inc. describes a end‑to‑end 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 layer into a "five‑module collaborative architecture." The release states the company holds cash reserves exceeding
The announcement lists specific technical claims: quantum data cleaning that reduces hour‑level processes to the minute level, quantum key distribution in preprocessing, a quantum‑classical heterogeneous architecture with millisecond‑level QPU/CPU collaboration, energy efficiency improved by three orders of magnitude, and model training speed improvements of about
Key dependencies and risks are explicit in the statement: the items are framed as future plans and forward‑looking expectations and the company includes a standard Safe Harbor caution pointing to SEC filings for risk factors. Concrete monitorable items include the planned capital deployment of more than
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
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
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
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SOURCE MicroCloud Hologram Inc.
FAQ
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