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]

据交易所数据显示，12月16日，盟云全息(HOLO)盘中上涨3.01%，截至22:38，报3.029美元/股，成交 16.11万美元，总市值4411.71万美元。 财务数据显示，截至2025年06月30日，盟云全息收入总额1.6亿人民币，同比增长24.04%；归母净利润 2.38亿人民币，同比增长297.04%。 本文源自：市场资讯 作者：行情君 资料显示，盟云全息公司 (前Golden Path Acquisition Corporation)是于2018年5月9日在开曼群岛注册成 立。该公司专注于全息技术的研发和应用。一直致力于为全球客户提供领先的全息技术服务。公司还为 客户提供全息数字孪生技术服务,并建立了全息数字孪生技术资源库。 ...

Company Overview - WiMi Hologram Cloud Inc. is a leading global provider of Hologram Augmented Reality (AR) technology, focusing on various professional fields including in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, and metaverse holographic AR/VR devices [1][15]. Technology Development - WiMi has proposed a new hybrid quantum-classical learning technology based on quantum convolutional neural networks (QCNN), which significantly improves performance in multi-class image classification tasks by recycling discarded qubit state information [2][3]. - This technology optimizes the efficiency of quantum networks under noisy intermediate-scale quantum (NISQ) devices and demonstrates the potential for quantum information reuse, paving a new path for hybrid quantum-classical models [3][12]. Quantum Computing Insights - Traditional QCNNs face challenges such as increased training time and energy consumption as model depth increases, necessitating a rethink of intelligent computing architectures [4][5]. - WiMi's architecture allows for the re-participation of discarded qubits in decision-making, enhancing the model's overall expressive ability and compensating for information loss during the pooling stage [6][10]. Architectural Innovation - The proposed architecture features a dual-channel structure that utilizes both retained and discarded qubit information, achieving maximum utilization of quantum information at the feature level [7][9]. - The training process employs a joint optimization mechanism based on classical cross-entropy loss, integrating outputs from both quantum and classical layers for improved performance [11][12]. Future Implications - WiMi's hybrid quantum-classical learning technology represents a significant advancement in quantum intelligence, exploring practical paths under current NISQ constraints and demonstrating the potential of quantum machine learning in various applications [13][14]. - As quantum computing progresses towards practical applications, hybrid models are expected to bridge the gap between theory and industry, driving innovation in fields such as intelligent vision and medical diagnosis [14].

Core Insights - MicroCloud Hologram Inc. has developed a quantum-driven 3D intelligent model that integrates quantum computing and artificial intelligence for high-precision 3D modeling and image processing [1][7] - The model features a quantum-optimized distributed architecture, allowing for flexible expansion and upgrading of subsystems, enhancing stability and scalability [2][7] - The company plans to invest over 400 million USD from its cash reserves exceeding 3 billion RMB into various frontier technology fields, including blockchain and quantum computing [8] Technology and Architecture - The model consists of six major subsystems, each utilizing quantum technology for performance upgrades, including data acquisition, model training, autonomous generation, data management, visualization, and system security [3][4][5][6] - The quantum-enhanced data acquisition subsystem improves data accuracy and stability through quantum data preprocessing and encryption [3] - The quantum-accelerated model training subsystem employs quantum deep learning algorithms for precise data feature extraction and model optimization [4] Advantages and Market Position - Compared to traditional systems, the new model offers efficient processing of massive data, high-quality 3D model generation, and reduced manual intervention, thus improving work efficiency [7] - The architecture supports rapid and stable system expansion while ensuring data security and privacy through multiple layers of quantum security technology [7] - MicroCloud Hologram Inc. aims to become a global leader in quantum holography and quantum computing technology [8]

Core Insights - MicroCloud Hologram Inc. anticipates achieving significant profitability in 2025, projecting a net income exceeding RMB 350 million, a substantial improvement from a net loss of approximately RMB 63 million in 2024 [1][2]. Financial Performance - The company expects a positive contribution to its cash position for the full year 2025 due to the projected net income [2]. - As of now, MicroCloud Hologram Inc. holds cash, cash equivalents, and short-term investments totaling over RMB 3 billion [3]. Investment Strategy - The company plans to deploy over US$400 million from its cash reserves to invest aggressively in quantum computing, blockchain, and quantum holography technologies [3][4]. - The goal is to establish a leading position in the quantum computing and quantum holography sectors [3][4]. Technology Focus - MicroCloud Hologram Inc. is committed to the research and development of holographic technology, including services such as holographic LiDAR solutions and holographic digital twin technology [4]. - The company aims to become a global leader in quantum holography and quantum computing technology [4].

Core Viewpoint - WiMi Hologram Cloud Inc. has developed a disruptive single-qubit quantum neural network technology that integrates quantum computing with artificial intelligence, addressing the limitations of traditional neural networks in multi-class classification tasks [1][4]. Group 1: Technology Development - The single-qubit quantum neural network technology (SQ-QNN) demonstrates the feasibility of high-dimensional quantum systems for efficient learning, providing a pathway for deep integration of quantum computing and AI [1][3]. - This technology addresses the challenges of training large neural networks, which often require billions of parameters and significant data center resources, leading to high power consumption and costs [2][3]. Group 2: Quantum Neural Network Advantages - Quantum Neural Networks (QNN) utilize qubits and quantum multi-level systems to represent high-dimensional data spaces, overcoming the resource limitations of classical computing [3]. - Compared to traditional deep learning, QNN can achieve complex mappings with shallow quantum circuits, enhancing model compactness and computational efficiency [3][4]. Group 3: Implementation Details - The SQ-QNN technology uses a single high-dimensional qudit to handle multi-class classification tasks, simplifying the model structure compared to classical neural networks [5][6]. - Each category corresponds to a dimension of the quantum system, and the classification process is executed through a high-dimensional unitary operator, reducing circuit depth and training overhead [6][8]. Group 4: Training Methodology - WiMi's technology incorporates a hybrid training method that combines extended activation functions with Support Vector Machine (SVM) optimization, enhancing the network's nonlinear representational capabilities [7][10]. - The training framework allows for efficient parameter optimization and quick convergence to global optimal solutions, effectively sharing the burden on quantum hardware [10][11]. Group 5: Company Overview - WiMi Hologram Cloud Inc. specializes in holographic cloud services, focusing on various applications such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, and metaverse holographic technologies [12].

Core Viewpoint - WiMi Hologram Cloud Inc. is actively exploring Quantum Dilated Convolutional Neural Networks (QDCNN) technology, which aims to overcome the limitations of traditional convolutional neural networks (CNNs) in processing complex data and high-dimensional problems, potentially leading to advancements in various fields such as image recognition, data analysis, and intelligent prediction [1][3]. Group 1: Traditional CNN Limitations - Traditional CNNs face bottlenecks in computational efficiency and feature extraction capabilities due to the explosive growth of data volume and increasing problem complexity [2]. - The architecture of traditional CNNs includes convolutional layers, pooling layers, and fully connected layers, which automatically extract features from large datasets [2]. Group 2: Quantum Computing Integration - QDCNN technology integrates quantum computing advantages into traditional CNN architecture, utilizing quantum processors for certain computational operations, which significantly accelerates feature extraction [3][4]. - Quantum computing allows for parallel processing of multiple data states, enhancing the network's ability to capture complex relationships within the data [3][5]. Group 3: Enhanced Feature Extraction - QDCNN not only extracts features obtainable by traditional CNNs but also reveals hidden quantum-level feature information, improving generalization capabilities and reducing overfitting when encountering new data [5][6]. - The use of dilated convolution technology in QDCNN expands the receptive field of the convolution kernel, allowing for better contextual information acquisition without increasing parameters [4]. Group 4: Future Development and Applications - WiMi plans to optimize data transmission and task scheduling between quantum and classical computing to enhance overall operational efficiency [6]. - QDCNN technology is expected to find applications in various fields, including medical research for drug development, intelligent transportation for traffic prediction, and environmental protection for climate change analysis [7][8]. Group 5: Company Overview - WiMi Hologram Cloud Inc. focuses on holographic cloud services, covering areas such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, and metaverse holographic AR/VR devices [9].

Core Insights - MicroCloud Hologram Inc. proposes a feasible path for achieving computational advantages in quantum computing through collaborative utilization of QPUs, error control, and algorithm optimization [1][2]. Quantum Computing Strategy - The company emphasizes the importance of circuit knitting technology to combine multiple QPUs, allowing for larger-scale quantum computing tasks by distributing complex quantum circuits into sub-circuits for parallel processing [2]. - Error suppression and mitigation techniques are highlighted as essential for reducing the impact of errors on computational results, enhancing the quality of solutions through optimized quantum gate operations and classical post-processing [2]. - The focus on heuristic quantum algorithms with asymptotic speedup aims to provide efficient solutions to practical problems, making them suitable for immediate applications despite not guaranteeing optimal solutions [2]. Quantum-Centric Supercomputing Architecture - MicroCloud proposes a "quantum-centric supercomputing" architecture that integrates quantum and classical processors, redefining their relationship to enhance computational efficiency [3]. - This architecture assigns tasks based on the characteristics of computing tasks, facilitating a collaborative working mode between quantum and classical processors [3]. Future Development and User Experience - The company acknowledges the increasing complexity of quantum computing systems and the need for higher levels of automation and intelligence in quantum software to simplify user interaction [4]. - The proposed "frictionless" user experience aims to lower the application threshold for quantum computing, promoting its adoption across various fields such as finance and healthcare [4]. Investment and Technology Focus - MicroCloud is committed to investing over $400 million in cutting-edge technology sectors, including quantum computing, quantum holography, and artificial intelligence [6].

Core Insights - MicroCloud Hologram Inc. has proposed a novel quantum computing method that utilizes a universal "quantum variable" form, enhancing flexibility and breaking the limitations of traditional quantum computing [1][4] - The company has developed a specific implementation model for universal quantum computing, relying on three core elements: a fixed two-body auxiliary-register interaction gate, auxiliaries in a single state, and local measurements [2][4] - The proposed quantum computing model combines the advantages of hybrid quantum-classical processing, allowing for efficient handling of complex quantum state operations while maintaining control and data processing through classical computing [3][4] Quantum Computing Method - The new quantum computing method allows for the use of various types of quantum variables, including traditional qubits and high-dimensional qubits, significantly expanding its application range [1][4] - The auxiliary plays a crucial role in mediating gate operations on quantum memory registers, enabling control without interfering with the core quantum state [1][4] Implementation Model - The implementation model simplifies the quantum computing process by using a single fixed gate, which reduces system complexity and enhances operational efficiency [2][4] - Consistent initial states for auxiliaries minimize computational errors, while local measurements facilitate the regulation of the computation process [2][4] Hybrid Processing Advantages - The model offers hybrid quantum-classical processing benefits, merging the strengths of quantum computing's parallelism with the control and flexibility of classical computing [3][4] - This approach is expected to support the development of more efficient and practical quantum computing systems, particularly in high-dimensional quantum information processing and complex simulations [4] Company Overview - MicroCloud Hologram Inc. focuses on providing advanced holographic technology services, including LiDAR solutions and holographic imaging technologies [6][7] - The company plans to invest over $400 million in various cutting-edge technology sectors, including quantum computing and blockchain development [7]

Core Insights - WiMi Hologram Cloud Inc. is advancing its research in quantum cryptography through its quantum crypt generator (QryptGen), which utilizes quantum machine learning technology to create highly secure encryption keys [1][2] Group 1: Quantum Cryptography Development - The QryptGen generates encryption keys that enhance data security during transmission and storage, addressing vulnerabilities in traditional algorithms like RSA and AES due to increasing computing power [2] - The encryption keys produced by QryptGen are based on quantum properties, offering high complexity and randomness, making data cracking nearly impossible [2] - WiMi's approach combines quantum algorithms with traditional stochastic gradient descent algorithms, optimizing the training of quantum generators and discriminators for effective key generation [1] Group 2: Future Applications and Industry Impact - As quantum computing hardware improves, quantum machine learning encryption technology is expected to be widely adopted across various fields, significantly enhancing data security [3] - WiMi aims to continue its research in quantum machine learning encryption technology, contributing to a more secure digital environment [3] Group 3: Company Overview - WiMi Hologram Cloud Inc. specializes in holographic cloud services, focusing on areas such as AR technology, holographic semiconductors, and metaverse applications [4] - The company provides a comprehensive range of holographic cloud technology solutions, including in-vehicle AR, holographic navigation, and virtual communication technologies [4]