Core Viewpoint - MicroCloud Hologram Inc. has introduced a quantum intelligent interconnected fault-tolerant consensus algorithm that integrates quantum computing into financial internet node management, enhancing system flexibility, scalability, and security [1]. Group 1: Algorithm Features - The proposed algorithm optimizes the traditional Byzantine fault-tolerant algorithm, improving adaptability to dynamic network environments while maintaining an efficient consensus process [1]. - It introduces a quantum Byzantine fault-tolerant mechanism that enhances node consensus efficiency through quantum parallel verification technology and achieves real-time synchronization of node states using quantum entanglement [1]. - The algorithm allows nodes to dynamically join or exit without interrupting financial services, adapting to the dynamic topological characteristics of edge computing networks [1]. Group 2: Node Management System - HOLO has designed a quantum-enhanced edge node management system that includes a geographic-based quantum node selection mechanism and a performance-based quantum node evaluation system [1]. - This system improves processing efficiency by allowing edge nodes closer to data sources to become quantum primary nodes, thus shortening data transmission distances [1]. - Quantum sensors are utilized to collect real-time indicators such as computing load, storage capacity, and bandwidth peaks, generating dynamic scores for precise control over node performance [1]. Group 3: Consensus Process - In the consensus process, every node can act as both a quantum primary node and a slave node, with the primary node responsible for capturing transaction requests and packaging data into quantum-encrypted units [1]. - Quantum slave nodes perform parallel verification of these data units, ensuring network consensus consistency and financial data integrity through quantum fault-tolerant verification [1]. - The dynamic access mechanism lowers entry barriers for new edge nodes, allowing them to join the network quickly through quantum identity authentication [1]. Group 4: Application Prospects - The algorithm has broad application prospects in edge computing-related fields, supporting collaborative work of distributed financial devices and ensuring secure data transmission and storage [1]. - As 5G and IoT technologies evolve, the integration of edge computing and financial internet is expected to deepen, with HOLO's algorithm playing a crucial role in this digital transformation [1]. - Continuous optimization of quantum consensus efficiency and expansion of quantum fault-tolerant boundaries will support the development of a secure and efficient edge financial internet network [1]. Group 5: Company Overview - MicroCloud Hologram Inc. focuses on holographic technology services, including holographic LiDAR solutions and digital twin technology, with cash reserves exceeding 3 billion RMB [2]. - The company plans to invest over 400 million USD in blockchain, quantum computing, and other frontier technology developments [2]. - The goal is to become a leading global company in quantum holography and quantum computing technology [2].

Core Insights - The recent focus on Alliance Hologram (HOLO.US) revolves around technological developments and market performance [1] Business and Technology Development - The company announced in early February 2026 its exploration of coding theory applications in blockchain scalability, aiming to enhance data processing efficiency through sharding technology and coding symbols to support digital twin businesses. However, there are market concerns regarding the implementation timeline and competitive pressures [2] Stock Performance - The stock has experienced increased volatility, with a cumulative decline of 4.27% over the past seven days as of February 11, 2026, and a price fluctuation of 11.97%. The company's total market capitalization is only $30 million, and it has a negative price-to-earnings ratio, indicating that its profitability has not yet been recognized by the market. The stock exhibits low liquidity characteristics, with a daily turnover rate of 3.92%, making it susceptible to significant price fluctuations with minimal capital movement [3] Industry Policy and Environment - The electronic components industry has shown overall volatility, with the sector rising by 0.61% on February 11. However, the company's business is still in the investment phase and has not yet generated scaled revenue. Continuous observation is needed regarding the progress of its holographic technology patent reserves, such as the 6D light field technology, towards commercialization [4]

Core Viewpoint - MicroCloud Hologram Inc. has developed an innovative transmission scheme for GHZ and W states using Brownian state quantum channels, enhancing quantum communication technology and paving the way for practical applications in large-scale quantum systems [1][5]. Technical Implementation - The Brownian state quantum channel is a novel four-particle entangled state that facilitates stable quantum links, enabling efficient transmission of multi-particle entangled states [2]. - The quantum Fourier transform is utilized for quantum state projection measurement, providing better adaptability and accuracy in measuring quantum states compared to traditional methods [3]. - HOLO has established comprehensive technical specifications for quantum gate operations, including specific phase gates and controlled-NOT gates for GHZ states, and more complex operations for W states [4]. Application Prospects - The protocol has significant potential in quantum communication, particularly in building core transmission modules for distributed quantum computing and applications in quantum secure communication and distributed quantum measurement [5]. - With advancements in quantum hardware technology, the transmission protocol is expected to play a crucial role in future quantum information systems, supporting the development of large-scale quantum networks [5]. Company Overview - MicroCloud Hologram Inc. focuses on holographic technology services, including holographic LiDAR solutions and digital twin technology, with cash reserves exceeding 3 billion RMB and plans to invest over 400 million USD in various frontier technology fields [6][7].

Core Viewpoint - MicroCloud Hologram Inc. has proposed an innovative hardware acceleration technology that converts quantum tensor network algorithms into parallel computing circuits on field programmable gate arrays (FPGA), enabling efficient quantum spin model simulation on classical hardware [1][11]. Technology Development - The company focuses on algorithm-hardware co-design, breaking down tensor network algorithms into computational units that can be directly implemented in hardware, thus creating a high-density parallel scalable architecture using FPGA [5][11]. - HOLO's technology achieves a performance improvement of 1.7 times faster than traditional CPU computations and more than 2 times improved energy efficiency [11]. Implementation Details - A Hierarchical Tensor Contraction Pipeline has been constructed, consisting of three main layers: input and scheduling layer, core computing layer, and output and reduction layer [7][8]. - The core computing layer utilizes multiple MAC Arrays to support tensor contraction operations, achieving pipeline-level parallelism for floating-point operations [8]. Future Plans - The company aims to continue developing hardware implementations for various quantum computing core modules, including quantum variational algorithms and quantum machine learning models, to establish a comprehensive quantum algorithm acceleration ecosystem [12]. Financial Position - MicroCloud Hologram Inc. has cash reserves exceeding 3 billion RMB and plans to invest over 400 million USD in the development of blockchain, quantum computing, and other frontier technologies [13].

Core Insights - MicroCloud Hologram Inc. has launched a scalable quantum Fourier transform simulator technology utilizing multi-FPGA and high-bandwidth memory, marking a significant engineering advancement for future quantum algorithm simulations [1][6] Technology Overview - The new multi-FPGA QFT simulation platform innovatively stores large-scale complex amplitudes of quantum states in high-bandwidth memory, enabling faster read and update speeds compared to traditional DDR memory [2] - The simulator's core processing unit is designed for parallel QFT structure, utilizing FPGA logic for efficient complex multiplication and data processing, which enhances hardware resource utilization [3] - Multi-FPGA scalability allows for the simulation of larger quantum states by distributing computation tasks across multiple FPGA chips, minimizing cross-FPGA communication through an efficient domain decomposition strategy [4] Engineering Challenges - Integrating multi-FPGA with high-bandwidth memory presents challenges in data flow scheduling and communication overhead, which the company addresses through strict synchronization protocols and high-precision computation modules [5] Strategic Importance - The launch signifies the growing role of FPGA in accelerating quantum software development, with future plans to support distributed quantum circuit simulations and rapid hardware accelerators for various quantum applications [6][8] - The multi-FPGA QFT simulator is positioned to serve not only quantum algorithm researchers but also in quantum compiler optimization and industrial application validation, filling a critical gap in the quantum computing ecosystem [7][8] Company Background - MicroCloud Hologram Inc. focuses on holographic technology and quantum computing, with cash reserves exceeding 3 billion RMB and plans to invest over 400 million USD in various frontier technology developments [9]

Core Viewpoint - MicroCloud Hologram Inc. has introduced a learnable quantum spectral filter technology for hybrid graph neural networks, marking a significant advancement in quantum-classical hybrid graph neural network architecture, which enhances graph signal processing capabilities and paves the way for practical quantum graph machine learning applications [1][12]. Technology Overview - The new technology integrates graph convolution and pooling operations into a quantum computing process, allowing for efficient processing of graph signals through a quantum circuit that performs spectral transformations based on graph structures [2][10]. - The quantum measurement process enables structured nonlinear mapping, addressing complex structural search challenges in classical graph neural networks (GNNs) [3][9]. - The quantum convolution layer can compress a graph of size N into log(N)-dimensional features, significantly reducing computational costs compared to classical methods [4][10]. Mathematical Foundation - The technology is based on the spectral structure of the graph Laplacian operator, which reflects key properties of the graph, such as connectivity and clustering [5][6]. - A mapping between the graph's adjacency matrix and quantum gates allows for the simulation of local adjacency relationships, while hierarchical rotation logic provides multi-scale filtering consistent with graph spectrum decoupling [6][7]. Implementation and Optimization - The training of the quantum circuit utilizes classical-quantum hybrid optimization, enabling the extraction of spectral features from high-dimensional input signals and outputting low-dimensional features for further processing by classical networks [8][10]. - The logarithmic encoding method reduces the number of qubits needed, allowing for efficient representation of the original feature space [7][10]. Industry Implications - The technology addresses the challenges of large-scale graph learning in various domains, such as social media and traffic networks, where classical GNNs struggle with memory and computational demands [9][10]. - Quantum spectral filters present a disruptive solution, as the qubit requirements grow logarithmically with the number of nodes, making them suitable for future quantum-classical GNNs [10][12]. Future Outlook - The introduction of this technology positions MicroCloud Hologram Inc. at the forefront of quantum computing and graph neural networks, establishing a foundation for future hardware development and practical applications in artificial intelligence and physical computing [11][13].

Core Insights - MicroCloud Hologram Inc. has launched the Q-DPC Accelerator, a tool that utilizes quantum-enhanced density peak clustering algorithms to enhance strategy evaluation efficiency [1][4] - The Q-DPC Accelerator features three main functions: strategy set preprocessing, quantum clustering grouping, and intelligent strategy matching, which collectively improve the efficiency and accuracy of strategy evaluations [2][4] Group 1: Q-DPC Accelerator Functions - The strategy set preprocessing stage includes quantum data cleaning, feature extraction, and data conversion, ensuring data accuracy and consistency for effective clustering analysis [2] - The quantum clustering grouping stage employs the quantum-enhanced density peak clustering algorithm to accurately identify clustering structures and reduce evaluation complexity [2][4] - The intelligent strategy matching stage rapidly matches access requests with pre-generated strategy clusters, enhancing both speed and accuracy of the matching process [3][4] Group 2: Application and Impact - The Q-DPC Accelerator is designed to provide enterprises with efficient and precise strategy evaluation solutions, significantly improving operational efficiency in complex strategy set scenarios [4] - The tool has broad application potential across various industries, aiding enterprises in building robust security systems to address increasing security challenges [4] - Continuous advancements in quantum computing technology are expected to further enhance the performance and accuracy of the Q-DPC Accelerator, providing reliable protection for enterprise data security [4][7]

Core Insights - MicroCloud Hologram Inc. has launched a new FPGA-based quantum computing simulation framework that utilizes a serial-parallel architecture, achieving a linear reduction in resource utilization [1][12] - The framework demonstrates significant advantages in speed and parallelism, marking a step forward in quantum computing hardware acceleration [2][12] - This technology has been validated on key quantum algorithms, providing a scalable path for simulating quantum circuits with hundreds to thousands of qubits [2][12] Technical Achievements - The new architecture addresses high resource consumption in quantum gate operations by integrating serial and parallel approaches, allowing for more efficient FPGA integration of quantum algorithms [4][5] - Traditional FPGA implementations face exponential resource overhead when handling multi-qubit gates; the new framework decomposes and schedules these operations to optimize resource usage [5][8] - The architecture allows for serial processing of quantum state vectors, enabling resource sharing during gate operations while using moderate parallel modules for critical steps [6][7] Performance and Validation - The framework's performance is highly dependent on the datapath design, achieving approximately linear growth in resource usage with the number of qubits, rather than exponential [8] - Experiments show that the framework provides orders-of-magnitude speed improvements for the Grover algorithm compared to traditional software simulators, while maintaining low hardware occupancy [10] - This framework serves as a complete baseline for future research in hardware quantum simulation, offering essential hardware templates for rapid development of new algorithm simulation modules [11][12] Industry Impact - The launch of this framework is seen as a significant infrastructure development for the future of quantum computing, potentially becoming a standard platform for quantum algorithm simulation in both academia and industry [13] - MicroCloud Hologram Inc. aims to become a leading company in quantum holography and quantum computing technology, with plans to invest over 400 million USD in various frontier technology fields [14]

Core Viewpoint - MicroCloud Hologram Inc. has launched a quantum-enhanced deep convolutional neural network image 3D reconstruction technology system, which integrates quantum computing with deep learning to improve the precision and adaptability of 3D model generation [1][8]. Group 1: Technology Overview - The new system consists of six core modules: quantum-optimized dataset preparation, quantum-assisted feature extraction, quantum-enhanced parameter generation, quantum-accelerated 3D reconstruction, quantum-precision model evaluation, and an interactive application interface [2]. - The quantum-optimized dataset preparation module is crucial for ensuring high-quality 3D model data, which is essential for the deep learning algorithm to accurately learn morphological features [3]. - The quantum-assisted feature extraction module utilizes quantum convolutional neural networks to efficiently extract higher-level features from input images, overcoming limitations of traditional algorithms [4]. - The quantum-enhanced parameter generation module maps high-dimensional feature vectors to three-dimensional space, allowing for refined control over model attributes such as shape and size [5]. - The quantum-accelerated 3D reconstruction module generates high-precision 3D models by leveraging quantum computing's parallel processing capabilities [6]. - The quantum-precision model evaluation module optimizes algorithm parameters based on error measurements, enhancing the robustness of the 3D reconstruction model [7]. Group 2: Competitive Advantages - Compared to traditional 3D reconstruction algorithms, the new system offers significant advantages in precision and adaptability, enabling better alignment with actual needs through quantum-accelerated training on large datasets [8]. - The technology has broad application prospects across various fields, including medical diagnostics, robotics, and manufacturing, with potential integration into augmented and virtual reality technologies [9][10]. Group 3: Company Background - MicroCloud Hologram Inc. focuses on holographic technology and has a cash reserve exceeding 3 billion RMB, with plans to invest over 400 million USD in quantum computing and related technologies [11]. - The company aims to become a global leader in quantum holography and quantum computing technology [11].

Group 1 - The core viewpoint of the article highlights the financial performance and market activity of Alliance Hologram (HOLO), indicating a positive trend in both stock price and financial metrics [1] - As of December 17, HOLO opened at $3.136 per share, reflecting a 2.15% increase, with a total market capitalization of $45.6831 million [1] - The company reported total revenue of 160 million RMB for the period ending June 30, 2025, representing a year-on-year growth of 24.04% [1] - The net profit attributable to the parent company reached 23.8 million RMB, showing a significant year-on-year increase of 297.04% [1] Group 2 - Alliance Hologram, formerly known as Golden Path Acquisition Corporation, was established on May 9, 2018, in the Cayman Islands [1] - The company focuses on the research and application of holographic technology, aiming to provide leading holographic technology services to global clients [1] - Additionally, the company offers holographic digital twin technology services and has established a resource library for this technology [1]