SHENZHEN, China, May 16, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a neural network-based quantum-assisted unsupervised data clustering technology, utilizing a hybrid quantum-classical algorithm framework. This framework integrates the classical self-organizing feature map (SOM) neural network with the powerful capabilities of quantum computing, enabling efficient data clustering in an unsupervised ...

Core Viewpoint - MicroCloud Hologram Inc. has developed a neural network-based quantum-assisted unsupervised data clustering technology that integrates classical self-organizing feature map (SOM) neural networks with quantum computing capabilities, enhancing data clustering efficiency in an unsupervised manner [1][4][11] Group 1: Technology Overview - The Self-Organizing Feature Map (SOM) is an unsupervised learning model used for data clustering, dimensionality reduction, and data visualization, mapping high-dimensional data to a low-dimensional space [2] - Traditional SOM algorithms face challenges in computational complexity and storage when handling massive datasets [3] - The Quantum-Assisted Self-Organizing Feature Map (Q-SOM) model leverages quantum computing to accelerate weight adjustment and data mapping processes, allowing for faster processing of larger datasets [4][5] Group 2: Advantages of Quantum-Assisted Technology - Quantum computing enhances computational efficiency through parallel processing, significantly reducing time costs associated with clustering computations, especially for large-scale data [7] - The quantum-assisted algorithm can handle higher-dimensional data more effectively, reducing complexity in high-dimensional computations [8] - Compared to classical methods, quantum computing offers higher accuracy and stability in solving nonlinear and complex problems, avoiding local optima issues [9] Group 3: Applications and Future Potential - The technology is applicable not only for data clustering but also in fields such as image processing, natural language processing, and financial data analysis, with potential for broader industry applications as quantum technology advances [10][12] - The integration of quantum computing and machine learning is expected to transform data processing methods across various industries, particularly in big data, artificial intelligence, and financial technology [11][12] - Continuous development in quantum computing is anticipated to unlock new potential in fields requiring high computational speed and precision, such as drug discovery and climate change prediction [12][13]

SHENZHEN, China, May 12, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a groundbreaking nonlinear quantum optimization algorithm based on efficient model encoding technology. This algorithm significantly enhances computational efficiency while reducing the consumption of quantum resources. This innovation not only addresses the key bottlenecks of current quantum optimization methods but also demonstrat ...

Market Overview - US stock indices experienced a significant rise for the third consecutive trading day, with the Dow Jones up 486.83 points (1.23%), Nasdaq up 457.99 points (2.74%), and S&P 500 up 108.91 points (2.03%) on April 24 [1] Technology Sector Performance - Major tech stocks saw substantial gains, with Tesla, Amazon, and Microsoft rising over 3%, while Google and Meta increased by more than 2%, and Apple rose nearly 2% [2] - The semiconductor sector led the gains, with Micron Technology and Broadcom up over 6%, Intel and AMD rising over 4%, and Nvidia increasing by more than 3% [2] - Nvidia's market capitalization increased by $90.8 billion (approximately ¥661.8 billion) in one night [2] Company Earnings Reports - Alphabet (Google's parent company) reported Q1 revenue of $90.23 billion, a 12% year-over-year increase, exceeding the expected $89.1 billion. Earnings per share were $2.81, up from $1.89 a year ago, and also above the forecast of $2.01. The operating profit was $30.61 billion, a 20% increase year-over-year, surpassing the expected $28.86 billion. The board authorized a stock buyback of up to $70 billion [6] - Intel reported Q1 revenue of $12.67 billion, a slight decline of 0.4% year-over-year, but above the expected $12.31 billion. Adjusted earnings per share were $0.13, down from $0.18 a year ago, but above the forecast of $0.01. The data center and AI revenue was $4.13 billion, exceeding the analyst expectation of $2.96 billion. Intel projected Q2 revenue between $11.2 billion and $12.4 billion, below the market estimate of $12.88 billion. The company reduced its total capital expenditure target for 2025 from $20 billion to $18 billion, leading to a post-earnings drop of over 7% in its stock [7] Chinese Stocks Performance - The Nasdaq Golden Dragon China Index rose by 0.68%, with notable gains in popular Chinese stocks such as NIO and Futu Holdings, which increased by over 6%, and Pinduoduo, Baidu, NetEase, and Bilibili rising over 2%. Xpeng Motors surged by 39.41%, and ZYBT rose by 34.91% [7][8] Commodity Market - International precious metals futures saw a general increase, with COMEX gold futures rising by 2.04% to $3,361.30 per ounce, and WTI crude oil futures up by 0.84% to $62.79 per barrel [9]

SHENZHEN, China, April 22, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO) ("HOLO" or the "Company"), a Hologram Digital Twins Technology provider, today announced that it developed an innovative solution aiming to provide an effective reconstruction for blockchain when it gets attacked. The solution employs verifiable secret sharing (VSS) technology to ensure that the blockchain system can quickly restore and maintain data integrity and consistency even under extreme circumstances. HOLO's bloc ...

SHENZHEN, China, March 21, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (Nasdaq: HOLO) ("MicroCloud" or the "Company") today filed its operational and financial results for the fiscal year ended December 31, 2024, on Form 20-F with the U.S. Securities and Exchange Commission (the "SEC"). MicroCloud is dedicated to the research, development, and application of holographic technology, striving to offer leading holographic technology services to customers worldwide. In 2024, the Company achieved remarkable su ...

Customer and Vendor Concentration - The company's five largest customers accounted for approximately 41.6% of revenues for the year ended December 31, 2024, with the largest customer contributing about 13.4%[59] - For the years ended December 31, 2023 and 2024, 62.6% and 32.0% of total purchases were from three and two vendors, respectively, indicating a significant vendor concentration risk[60] Research and Development - The company expects to incur substantial research and development costs, which could significantly reduce profitability, with no guarantee of generating future revenue[56] - The company's success in the automotive sector relies on the commercialization of its holographic ADAS solutions, which are still in the early stages of development by customers[46] Market Risks - The market adoption of LiDAR technology, particularly holographic LiDAR, remains uncertain, which could adversely affect the company's business if adoption does not develop as expected[50] - The company faces intense competition in the holographic service market, which could create downward pressure on pricing and profitability[47] - Continued pricing pressures from automotive OEMs could lead to low profitability or losses for the company[65] Financial and Capital Risks - The company may need to raise additional capital in the future, which may not be available on favorable terms, potentially limiting growth opportunities[57] - The company's financial results could be adversely affected if any key supplier fails to fulfill contractual obligations, impacting cash flows and profitability[61] - The company has a limited operating history, and its past growth rates may not be indicative of future performance[66] - Rapid growth has placed strain on management and resources, affecting the company's ability to sustain growth[67] Operational Challenges - Attracting and retaining skilled personnel is critical for future success, with intense competition for talent[68] - Negative media coverage could harm the company's brand and adversely affect sales[69] - The company relies on third-party services, and disruptions could slow user growth and negatively impact operations[79] - Insurance coverage is limited, and any uninsured disruptions could result in substantial costs and affect financial condition[81] Internal Controls and Compliance - The company has identified material weaknesses in internal control over financial reporting, particularly in understanding U.S. GAAP, which may lead to misstatements in financial statements[94] - The company plans to hire personnel with U.S. GAAP experience to strengthen its financial reporting function and address identified weaknesses[95] - The company may incur additional operating costs as it implements measures to remediate identified weaknesses in internal controls[96] Regulatory Environment - The company is subject to extensive regulations in China, which may create uncertainties regarding compliance and operational continuity[87] - The company faces risks related to data protection and cybersecurity, which could lead to unexpected costs and enforcement actions[89] - The company is subject to evolving PRC laws regarding data security and privacy, which may create uncertainties in compliance[121] Economic and Political Risks - The company is exposed to risks from adverse changes in China's economic, political, or social conditions, which could materially affect its financial condition[103] - The international economic relations between the U.S. and China remain volatile, affecting the company's competitive position and market demand[107] Taxation and Financial Regulations - The PRC withholding tax rate on dividends paid by PRC subsidiaries to foreign enterprises is currently 10%[146] - The withholding tax rate may be reduced to 5% if certain conditions are met under the Double Tax Avoidance Arrangement[146] - The PRC enterprise income tax rate is generally 25% for indirect transfers of assets by non-PRC resident enterprises[152] Foreign Exchange and Liquidity Risks - Fluctuations in exchange rates could materially affect the company's results of operations and investment value, with the Renminbi having appreciated over 20% against the U.S. dollar since 2005[176] - The company relies on dividends from its PRC subsidiaries to fund cash requirements, and approval from SAFE is needed for converting Renminbi into foreign currency for capital expenses[178] - The company is exposed to liquidity risk, which may hinder its ability to meet commitments and business needs[559] Shareholder and Market Risks - The trading prices of the company's Ordinary shares may be volatile due to various factors, including market conditions and performance of other PRC companies listed in the U.S.[193] - The sale of substantial amounts of Ordinary shares could adversely affect the market price and the company's ability to raise capital in the future[199] - If securities analysts do not publish research or publish unfavorable reports, the company's share price and trading volume could decline[200]

Core Viewpoint - MicroCloud Hologram Inc. has proposed a new method based on Matrix Product States (MPS) that significantly enhances quantum state preparation accuracy and computational efficiency, achieving improvements by two orders of magnitude [1][12]. Group 1: Technology Overview - The new method utilizes a shallow quantum circuit design primarily composed of nearest-neighbor qubit gates, which enhances feasibility on current noisy quantum devices [2][6]. - The research indicates that approximation accuracy in tensor networks is mainly dependent on bond dimension rather than the number of qubits, facilitating future large-scale adoption [2][12]. - The method optimizes the loading of probability distributions by leveraging mirror symmetry, which reduces entanglement and improves computational efficiency [4][5]. Group 2: Advantages of the New Method - The proposed method achieves a precision improvement of two orders of magnitude compared to existing MPS techniques while significantly reducing computation time [8][12]. - The optimized shallow quantum circuit design minimizes global gate operations, reducing circuit depth and enhancing computational stability [6][7]. - The linear scalability of the method allows it to adapt to larger-scale quantum systems without a corresponding exponential increase in computational complexity [7][10]. Group 3: Applications and Future Directions - The MPS method is particularly suitable for high-dimensional probability distributions, making it ideal for applications in quantum finance and quantum machine learning [10][12]. - Future research will focus on optimizing computational complexity, improving adaptability across different quantum hardware platforms, and exploring additional application areas [13].

Core Insights - MicroCloud Hologram Inc. is developing Continuous Variable Quantum Neural Networks (CV-QNN) technology to enhance quantum artificial intelligence capabilities [1][8] - The CV-QNN technology integrates classical neural network structures within quantum computing frameworks, aiming to improve computational efficiency and expand application areas [8][11] Technology Overview - CV-QNN utilizes affine transformations and nonlinear mappings through continuously parameterized quantum gates, distinguishing itself from discrete variable architectures [2][6] - The architecture employs Gaussian gates for linear operations and non-Gaussian gates for nonlinear activation functions, enabling complex feature representation [3][4] - The layered structure of CV-QNN mirrors multilayer perceptrons in classical networks, allowing for complex nonlinear transformations while maintaining quantum coherence [5] Performance and Applications - CV-QNN leverages quantum superposition and entanglement, potentially offering exponential speedup in processing large-scale data [6] - Applications include efficient image classification, object detection, text generation, and market forecasting, showcasing versatility across various fields [7][8] Challenges and Future Prospects - The technology faces challenges such as quantum hardware stability and optimization of computational resources, which require further research [9][10] - As quantum hardware and software improve, the performance and application scope of CV-QNN are expected to expand significantly [10][11]

Core Viewpoint - MicroCloud Hologram Inc. has proposed an innovative high-dimensional quantum key distribution (QKD) protocol that utilizes quantum Fourier transform, enhancing security and information efficiency in quantum transmission [1][5]. Group 1: Quantum Key Distribution Protocol - The proposed QKD protocol employs a coding framework that ensures secure key distribution through quantum operations, specifically quantum Fourier transform and quantum-controlled NOT gate [1][2]. - The secret information is concealed within the relative phases of high-dimensional entangled states, allowing for secure storage and retrieval of information [2][3]. - High-dimensional quantum states significantly increase information-carrying capacity compared to traditional binary states, breaking the previous limit of 1 bit per particle [3][4]. Group 2: Security and Performance - The QKD protocol demonstrates superior cryptographic performance, surpassing traditional methods that rely on mathematical problems, thus reducing the risk of compromise as computational power increases [4]. - The protocol is based on quantum mechanics principles, such as the no-cloning theorem and Heisenberg's uncertainty principle, which fundamentally prevent information eavesdropping or tampering [4][5]. - The high-dimensional quantum state key allows for the transmission of more keys under the same conditions, addressing the growing demands for information security in the big data era [4][5]. Group 3: Future Implications - The advancements made by MicroCloud in the QKD protocol lay a solid foundation for the future development of quantum key distribution technology, potentially leading the field into a new stage of development [5].