MicroCloud Hologram Unveils Quantum-Powered Real-Time Big Data System

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a know-how service supplier, leverages their very own technical accumulation within the fields of quantum computing and massive knowledge to develop a quantum-empowered massive knowledge real-time computing system. Through the deep integration of quantum know-how and knowledge processing know-how, it achieves a leapfrog enchancment in knowledge effectivity, turning into a core assist instrument for digital transformation in varied industries.

The system developed by HOLO has its core logic in integrating the parallelism and entanglement benefits of quantum know-how into all the knowledge processing workflow to attain speedy mining and exact transformation of knowledge worth. In precise operation, HOLO innovatively adopts quantum sensing know-how to combine multi-source heterogeneous knowledge from IoT terminals, enterprise enterprise programs, public service platforms, and others into the self-developed knowledge middleware—this step notably introduces quantum error correction coding know-how, leveraging the speedy identification functionality of qubits for knowledge outliers, making the information cleansing effectivity a number of instances increased than conventional strategies whereas guaranteeing the safety of knowledge transmission and storage. Subsequently, the preprocessed knowledge is fed into HOLO’s self-designed quantum-enhanced real-time computing engine, finishing complicated evaluation operations by a quantum parallel computing mode, and eventually counting on HOLO’s developed quantum visualization instruments to current the ends in kinds corresponding to interactive charts and dynamic fashions, serving to customers effectively acquire knowledge insights.

As a core achievement of HOLO’s know-how structure, this technique adopts a self-designed “five-module collaborative structure”, with every module deeply integrating the quantum know-how developed by HOLO, forming a whole closed loop of “knowledge processing-computation analysis-value output”. Specifically, the information preprocessing module is developed by HOLO in collaboration with the quantum know-how staff, integrating quantum key encryption and knowledge high quality evaluation features; 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 studying algorithms and optimization algorithms; the quantum visualization module is supplied with HOLO’s unique quantum entanglement state simulation instruments; and the distributed quantum fault-tolerant structure module adopts HOLO’s optimized quantum error correction scheme. The 5 main modules obtain collaborative linkage by HOLO’s self-developed standardized interfaces, offering customers with environment friendly full-process companies from knowledge enter to consequence output.

From a technical particulars perspective, the efficiency benefits of every module all originate from HOLO’s technological improvements. In the information preprocessing module, HOLO’s self-developed quantum knowledge cleansing algorithm, leveraging quantum superposition states, can concurrently course of anomaly detection for billions of knowledge entries, compressing the standard hour-level cleansing time to the minute degree; on the identical time, the module adopts HOLO’s self-designed quantum key distribution protocol to make sure absolute safety within the knowledge assortment and transmission course of. The quantum-enhanced real-time computing engine, because the core of the system, is HOLO’s “quantum-classical heterogeneous structure” tailor-made for large knowledge situations—the quantum processing unit (QPU) is chargeable for executing complicated duties corresponding to large-scale matrix operations and combinatorial optimization, the classical processing unit (CPU) handles logic management and knowledge scheduling, and the 2 obtain millisecond-level collaboration by HOLO’s developed quantum-classical interface, with computational power effectivity improved by three orders of magnitude in comparison with conventional engines. In the quantum algorithm library, HOLO’s self-developed algorithms corresponding to quantum neural networks and quantum assist vector machines can extract extra hidden options beneath the identical knowledge quantity, with mannequin coaching pace improved by about 40% in comparison with conventional algorithms. In addition, HOLO’s custom-made distributed quantum fault-tolerant structure for the system adopts an optimized floor code quantum error correction know-how, considerably lowering the qubit error charge and guaranteeing secure system operation.

In the long run, HOLO plans to additional deepen analysis on quantum-classical hybrid computing, optimize algorithm adaptability in fields corresponding to clever manufacturing and the metaverse, whereas selling the combination of the system with quantum communication networks to construct a safer and environment friendly knowledge processing ecosystem. With the continual iteration of know-how, HOLO is anticipated to play a number one function within the fusion of the digital financial system and quantum business by this technique, offering stronger technical assist for the transformation and upgrading of varied industries.

The put up MicroCloud Hologram Unveils Quantum-Powered Real-Time Big Data System first appeared on AI-Tech Park.

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