MicroAlgo Unveils Quantum Blockchain Architecture
Written by Emily J. Thompson, Senior Investment Analyst
Updated: May 05 2026
0mins
Source: Newsfilter
- Quantum Security Technology: MicroAlgo's adoption of a quantum blockchain architecture, integrating cyclic QSC and QKD technologies, significantly enhances transaction security by ensuring absolute safety in key generation and distribution, effectively resisting quantum computing attacks and bolstering user trust.
- Layered Design Advantages: The architecture is divided into four layers: quantum communication, blockchain core, smart contract, and application layers, ensuring data consistency and immutability while supporting user-defined transaction rules, thereby enhancing transaction transparency and fairness.
- Real-Time Monitoring Capability: By leveraging quantum encryption technology, MicroAlgo achieves real-time verification and monitoring of transaction data, ensuring the legitimacy and accuracy of transactions, which further strengthens the system's long-term security defenses.
- Market Outlook: Despite challenges in the maturity and commercialization of quantum technology, MicroAlgo's quantum blockchain architecture is poised to lead blockchain technology into a new stage of development, making significant contributions to building a more secure, transparent, and efficient digital economic ecosystem.
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About MLGO
MicroAlgo Inc is a holding company principally engaged in the development and application of bespoke central processing algorithms through its subsidiaries. The Company is mainly engaged in the provision of central processing algorithm services and intelligent chips and services. Central processing algorithm services include providing central processing algorithm solutions such as internet advertising solutions, internet games services and others. Intelligent chips and services mainly include resale of intelligent chips products and accessories. The Company also provides services such as accelerating computing power, lightweight data processing and data intelligence services. The Company mainly conducts its businesses in the domestic market and overseas markets.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Experimental Validation: In experiments on the Quantum Fourier Transform and quantum wavelet transform, this technology outperformed traditional methods in resource consumption and simulation time, demonstrating its superiority in handling complex quantum algorithms.
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- Technological Innovation: MicroAlgo's newly launched high-precision, high-throughput reconfigurable simulation technology addresses technical challenges in quantum algorithm research, significantly enhancing simulation efficiency and resource utilization through arithmetic operation simplification and nuclear operation iteration models.
- Experimental Validation: In simulation experiments of classic quantum algorithms, MicroAlgo's technology significantly outperformed traditional methods in resource utilization and simulation time; for instance, in the Quantum Fourier Transform experiments, it successfully reduced computational complexity and accelerated processing speed.
- Application Prospects: This simulation technology not only accelerates the development and testing of quantum algorithms but also lays the foundation for practical applications in fields such as scientific computing, cryptography, and materials science, showcasing broad application potential.
- Market Potential: As quantum computing technology continues to advance, MicroAlgo's simulation technology will provide robust support for the research and practical application of quantum algorithms, driving the arrival of the quantum computing era.
See More
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- Quantum Encryption Development: MicroAlgo announced the development of quantum encryption technology based on lattice cryptography, integrating it into the LSQb algorithm, significantly enhancing resistance to quantum attacks and ensuring information security in complex quantum computing environments.
- Information Processing and Embedding: Prior to embedding information into quantum images, preprocessing steps such as denoising, enhancement, and format conversion are conducted to ensure the accuracy and reliability of information embedding, thereby enhancing support for subsequent information hiding and transmission.
- Enhanced Security and Stability: By employing complex encoding and embedding strategies, the technology ensures the security of information during transmission, while the error-correcting capabilities of lattice cryptography make information transmission more stable, effectively resisting disturbances from quantum channel noise.
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See More
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- Quantum Encryption Development: MicroAlgo announces the development of quantum encryption technology based on lattice cryptography, integrating it with the LSQb algorithm to significantly enhance resistance to quantum attacks, ensuring information security in complex quantum computing environments.
- Information Encoding and Embedding: During the embedding of secret information into quantum images, complex encoding strategies are employed, utilizing the superposition and entanglement properties of quantum bits to ensure the security and reliability of information during transmission.
- Stability Enhancement: The error-correcting capabilities of lattice cryptography make information transmission more stable, ensuring accurate information transfer even under disturbances such as quantum channel noise, thereby increasing the technology's reliability in practical applications.
- Future Development Potential: As quantum computing technology advances, MicroAlgo's technology will integrate with other quantum information technologies to form a more comprehensive quantum information processing system, possessing higher security and computational capabilities.
See More
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- Performance Optimization: The algorithm considers multiple performance metrics such as circuit accuracy, width, depth, and gate count during the design process, ensuring optimal performance on resource-constrained quantum hardware to meet complex computational demands.
- Application Validation: In tests on classic quantum algorithms like the Quantum Fourier Transform and Grover's Search Algorithm, the algorithm successfully identified circuit structures that meet input/output mapping requirements, demonstrating its capability to efficiently design quantum circuits.
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See More
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