Core Insights - MicroCloud Hologram Inc. has announced a significant investment of up to $200 million in Bitcoin and cryptocurrency-related securities derivatives, reflecting its strategic vision for future business expansion in the cryptocurrency sector [1][2][3] - The company currently holds approximately $394 million in cash reserves, with plans to allocate these funds towards technology development in areas such as Bitcoin-related blockchain, quantum computing, quantum holography, and AI-powered AR [1][5] - Cumulative investment income from these initiatives has reached $35.96 million, indicating the company's commitment to maintaining a strong financial position while enhancing shareholder value [1][3] Investment Strategy - The purchase of Bitcoin and its derivatives is part of HOLO's capital reserve strategy aimed at enhancing financial stability and long-term growth potential through diversified investments [2][3] - The allocated funds will primarily target cryptocurrencies with significant market influence and growth potential, contributing to the diversity and risk resilience of HOLO's overall asset portfolio [3] Technology Development Focus - MicroCloud is dedicated to providing advanced holographic technology services, including high-precision holographic LiDAR solutions and holographic digital twin technology [5] - The company plans to invest over $400 million in cutting-edge technology sectors, including Bitcoin-related blockchain development, quantum computing, quantum holography, and AI and AR technologies [5]

Core Insights - MicroCloud Hologram Inc. has announced a significant investment of up to $200 million in Bitcoin and cryptocurrency-related securities derivatives, reflecting its strategic vision for future business expansion in the cryptocurrency sector [1][2][3] - The company currently holds approximately $394 million in cash reserves, which will be allocated towards derivatives and technology development in advanced fields such as Bitcoin-related blockchain, quantum computing, quantum holography, and AI-powered AR [1][3] - The cumulative investment income from these initiatives has reached $34.67 million, indicating the company's commitment to maintaining a strong financial position while creating long-term value for shareholders [2][3] Investment Strategy - The purchase of Bitcoin and its derivatives is part of the company's capital reserve strategy aimed at enhancing financial stability and long-term growth potential through diversified investments [2][3] - The allocated funds will primarily target cryptocurrencies with significant market influence and growth potential, as well as related securities derivatives, to diversify and strengthen the overall asset portfolio [3] Future Development Plans - MicroCloud plans to invest over $400 million in cutting-edge technology sectors, including Bitcoin-related blockchain development, quantum computing, quantum holography, and AI and AR technologies [5]

Core Insights - MicroCloud Hologram Inc. has announced a strategic investment of up to $200 million in Bitcoin and cryptocurrency-related securities derivatives, aiming to enhance financial stability and long-term growth potential [1][2][3] - The company currently holds approximately $394 million in cash reserves, with a cumulative investment income of $34.02 million as of July 11, 2025 [1][3] Investment Strategy - The investment in Bitcoin and its derivatives is part of HOLO's capital reserve strategy, which seeks to diversify investments and gain insights into market mechanisms and price fluctuations [2][3] - The allocated funds will primarily target cryptocurrencies with significant market influence and growth potential, enhancing the diversity and risk resilience of HOLO's overall asset portfolio [3] Business Development - HOLO emphasizes its commitment to maintaining a strong financial position while striving to create long-term value for shareholders through prudent business strategies [3] - The company aims to accumulate valuable experience in the cryptocurrency sector to support future business expansion and capital operations [2]

Core Viewpoint - The rapid development of Internet of Vehicles (IoV) technology has highlighted data security issues, and blockchain technology shows great potential in addressing these needs through its decentralized and immutable characteristics. However, storage pressure on blockchain nodes poses a significant challenge to its widespread application [1]. Group 1: Blockchain Technology and IoV - Blockchain technology faces dual challenges in IoV applications: storage pressure and cross-shard communication efficiency. Most existing nodes struggle to meet the growing storage demands, while frequent cross-shard communication affects overall blockchain performance [1]. - MicroCloud Holo (NASDAQ: HOLO) has proposed innovative sharding methods that effectively alleviate storage pressure on blockchain nodes while enhancing system performance and efficiency [1]. Group 2: Content Sharding Method - The content sharding method optimizes the storage process of blockchain. It categorizes data generated by different vehicles and infrastructure based on their characteristics and importance, distributing these data segments across multiple nodes to reduce individual node storage pressure and improve scalability and fault tolerance [3]. - Advanced algorithms and technologies are employed in the implementation of the content sharding method, including detailed sharding strategies based on data characteristics and the use of smart contracts for automated sharding processes [3]. Group 3: Node Sharding Method - The node sharding method focuses on optimizing the computational process of blockchain. It divides nodes in the network into different shards, allowing nodes within each shard to collaborate and cache the entire blockchain data, thereby reducing the frequency of cross-shard communication and enhancing system performance [4]. - The implementation of the node sharding method utilizes advanced network technologies and optimization algorithms, including detailed sharding strategies based on network topology and the use of P2P network protocols for communication and collaboration among nodes [4]. Group 4: Future Prospects - MicroCloud Holo's innovative sharding technology offers new solutions for data security in the IoV sector by optimizing blockchain storage and computational processes, effectively alleviating storage pressure on nodes and improving system performance and efficiency [5]. - The technology also demonstrates good scalability and fault tolerance, making it adaptable to various scales and complexities of IoV systems. The company plans to continue its focus on data security in IoV, driving technological innovation and application while actively collaborating with upstream and downstream enterprises in the industry [5].

Core Viewpoint - The article discusses the revolutionary layered resource scheduling solution proposed by Microcloud Hologram (NASDAQ: HOLO) for blockchain-based Internet of Vehicles (IoV) systems, addressing the limitations of traditional centralized cloud architectures in real-time data exchange and identity management [1][2][6]. Group 1: Challenges of Traditional IoV Systems - Traditional IoV systems rely on centralized cloud architectures, which limit scalability and increase the risk of single points of failure [2][3]. - Dependence on Trusted Third Parties (TTP) undermines system autonomy, affecting data security and privacy [2][3]. Group 2: Introduction of Blockchain Technology - Blockchain technology offers a decentralized, tamper-proof, and highly transparent solution for IoV systems [2]. - The implementation of blockchain in IoV faces challenges such as dynamic network topologies and limited resources [2][3]. Group 3: Layered Resource Scheduling Solution - The layered resource scheduling solution categorizes system resources into multiple levels, allowing for dynamic scheduling and management based on varying needs [3][5]. - This approach enhances data security and reliability while facilitating efficient data exchange and identity management [3][5]. Group 4: Advanced Techniques and Innovations - Microcloud Hologram developed a machine learning-based resource assessment method to accurately predict system resource needs in real-time [3][5]. - The solution incorporates key blockchain technologies such as smart contracts and consensus mechanisms to achieve decentralized identity management and data exchange [6]. Group 5: Impact on the Industry - The successful development and application of the layered resource scheduling solution set a new benchmark for the industry, paving the way for advancements in IoV systems [6].

Core Viewpoint - Blockchain technology is becoming essential in financial transactions but faces unprecedented security challenges, prompting the introduction of an innovative blockchain reconstruction solution by MicroCloud Hologram (NASDAQ: HOLO) to protect transactions from malicious attacks and ensure system integrity [1] Group 1: Security Challenges and Solutions - Blockchain technology is known for its decentralization and transparency, but it also introduces new security issues, particularly in permissioned blockchains where unauthorized participants can compromise the system [1] - MicroCloud Hologram has proposed a solution using Verifiable Secret Sharing (VSS) technology, allowing for immediate blockchain reconstruction without relying on trust between different blockchain parties [1][2] - The solution includes advanced encryption techniques to ensure the security of all transaction data during transmission and storage [4] Group 2: Technical Features - An improved consensus algorithm is employed to maintain blockchain integrity and consistency even if some nodes are attacked or damaged [2][4] - VSS technology enables the splitting of secret information into multiple parts stored across different nodes, allowing reconstruction only when a sufficient number of nodes collaborate [2] - The integration of smart contracts automates the reconstruction process, reducing human intervention and enhancing efficiency and security [2][4] Group 3: Advantages of the Solution - The blockchain reconstruction solution allows for a rapid initiation of the reconstruction process during an attack, with each user capable of independent reconstruction without relying on others [5] - The use of VSS technology ensures data security during the reconstruction process, and all activities are transparent, enhancing user trust [5] - This innovative technology not only improves the security of blockchain systems but also brings greater stability and trust to the financial transaction market [5]

Core Insights - MicroCloud Hologram Inc. has developed a noise-resistant Deep Quantum Neural Network (DQNN) architecture aimed at universal quantum computing and optimizing quantum learning tasks [1][13] - This architecture represents a significant advancement over traditional quantum neural networks by enabling efficient hierarchical training and reducing quantum resource demands [3][13] Group 1: Architecture and Functionality - The DQNN architecture utilizes qubits as neurons and arbitrary unitary operations as perceptrons, allowing for robust learning from noisy data [3][4] - Quantum neurons in this architecture are represented by quantum states, which can store richer information and enhance computational power through quantum superposition and entanglement [4] - Each neuron updates its state through unitary operations, preserving the normalization property of quantum states and ensuring information retention during computation [5] Group 2: Training and Optimization - HOLO employs an optimization strategy based on fidelity, aiming to maximize the similarity between current and target quantum states, which allows for fewer training steps and reduced quantum resource requirements [6][13] - This optimization method demonstrates strong robustness against noise and errors, maintaining stable learning performance even in noisy environments [7][11] Group 3: Scalability and Practical Applications - The architecture optimizes quantum state encoding, ensuring that the number of qubits scales with the network's width rather than its depth, thus reducing hardware demands [8][9] - HOLO's DQNN has shown excellent generalization capabilities, accurately learning target quantum operations and inferring reasonable quantum mapping relationships even with limited or noisy training data [10][11] - As quantum computing technology advances, the practical application prospects of deep quantum neural networks are broadening, with potential impacts across various industries [12][13]

Core Insights - MicroCloud Hologram Inc. has announced a strategic investment of up to $200 million in Bitcoin and cryptocurrency-related securities derivatives, reflecting its commitment to exploring the cryptocurrency sector and enhancing its financial stability [1][2][3] - The company currently holds approximately $303 million in cash reserves, with the investment aimed at diversifying its asset portfolio and increasing long-term growth potential [2][3] - Cumulative investment income from these activities has reached $19.08 million, indicating a strong financial position and a focus on creating long-term value for shareholders [1][3] Investment Strategy - The investment in Bitcoin and derivatives is part of HOLO's capital reserve strategy, designed to improve financial stability and gain insights into market mechanisms and investment strategies [2][3] - The allocated funds will primarily target cryptocurrencies with significant market influence and growth potential, enhancing the diversity and risk resilience of the company's overall asset portfolio [3] Technological Advancements - As a technology service provider, HOLO has made significant breakthroughs in quantum system research and large-scale DeepSeek integration, which support its investments in the cryptocurrency sector [4] - The company's technological innovations lay a solid foundation for future business expansion, further integrating its core competencies with its investment strategies [4] Industry Position - With the growing cryptocurrency market, HOLO's investment decisions and strategic planning position it as a pioneer, potentially serving as a model for other companies in the sector [5] - The company aims to continue exploring and advancing in the cryptocurrency sector, contributing positively to the overall development of the industry while creating greater value for its shareholders [5]

Core Insights - MicroCloud Hologram Inc. has made significant advancements in quantum-enhanced imaging, particularly in holographic LiDAR technology, achieving a signal-to-noise ratio (SNR) of 40dB, which enhances imaging quality by providing clear, noise-free visuals [1][5]. Technology Advancements - The company utilizes quantum illumination (QI) to improve detection in noisy environments, successfully distinguishing targets from background noise by leveraging quantum temporal correlations [2][3]. - HOLO's method involves rotating measurements between time and frequency domains, which amplifies uncertainty while maintaining correlation, allowing for effective noise filtering [2]. - The technology employs non-classical time-correlated photon pairs generated through femtosecond-pumped spontaneous parametric down-conversion (SPDC), enabling high precision in imaging [3][4]. Product Development - HOLO has designed a quantum holographic LiDAR device that integrates with superconducting nanowire detectors, facilitating 3D holographic imaging capabilities [4]. - The device's design minimizes angular deviation and allows for the resolution of depth phase information, enhancing its application in various fields [4]. Market Position - MicroCloud is committed to providing advanced holographic technology services, including high-precision LiDAR solutions and holographic digital twin technology, aimed at improving applications in areas such as advanced driver assistance systems (ADAS) [6].

Core Insights - MicroCloud Hologram Inc. has developed a new quantum supervised learning method that demonstrates quantum speedup capabilities in end-to-end classification problems [1][14] - The method overcomes limitations of current quantum machine learning algorithms and maintains high-precision classification even with errors from limited sampling statistics [1][14] Quantum Methodology - The core of the quantum-accelerated classifier involves constructing a classification problem and designing a quantum kernel learning approach that utilizes quantum computing for acceleration [2] - A dataset is constructed that classical computers cannot classify effectively, while quantum computers can efficiently perform classification using quantum kernel methods [6] - HOLO employs parameterized quantum circuits (PQC) for feature mapping, transforming classical data into quantum states to enhance classification accuracy [7][5] Quantum Kernel Learning - Quantum kernel learning uses quantum computers to compute kernel functions that are computationally complex for classical computers [4] - HOLO's approach computes the inner product between quantum states to construct a quantum kernel matrix, which is used to train classical machine learning models [8] Robustness and Error Handling - The method includes error correction strategies to mitigate the impact of noise in quantum computations, ensuring stability and high classification accuracy [10][9] - Optimization strategies from variational quantum algorithms (VQAs) are incorporated to maintain performance under constrained quantum resources [10] Applications and Future Prospects - The technology has potential applications in fields such as financial market prediction and biomedical data classification, leveraging quantum speedup for efficient data processing [12] - As quantum computing hardware advances, the research outcomes are expected to undergo larger-scale validation and application, enhancing the role of quantum supervised learning in machine learning [13][15]