Welcome to our dedicated page for MicroCloud Hologram news (Ticker: HOLO), a resource for investors and traders seeking the latest updates and insights on MicroCloud Hologram stock.
MicroCloud Hologram Inc. (NASDAQ: HOLO) is a technology service provider that publicly reports frequent developments across holographic technology, quantum computing, and quantum-enhanced software systems. News about HOLO often highlights its work in holographic LiDAR solutions, holographic vehicle intelligent vision technology for holographic ADAS, and holographic digital twin technology services supported by proprietary digital twin resource libraries.
Recent announcements have focused on quantum-related advances. These include a multi-FPGA Quantum Fourier Transform simulation platform using high-bandwidth memory, an FPGA-based quantum computing simulation framework founded on a serial-parallel architecture, and a quantum-empowered big data real-time computing system built around a five-module collaborative architecture. The company also releases updates on quantum machine learning, such as learnable quantum spectral filters for hybrid graph neural networks and quantum convolutional neural network multi-class classification methods.
Other news items describe quantum-enhanced deep convolutional neural network 3D reconstruction technology, a quantum-driven 3D intelligent model for 3D modeling and generation, and theoretical work on quantum synchronization and quantum time. Together, these disclosures show how MicroCloud Hologram presents its role in holographic technology, digital twins, quantum algorithms, and big data processing.
Investors and observers following HOLO news can use this page to review company-issued press releases and updates related to its holographic services, quantum computing initiatives, and SEC reporting activity, and to track how the company characterizes its technology roadmap over time.
MicroCloud Hologram (NASDAQ: HOLO) on January 16, 2026 announced an FPGA-based hardware acceleration approach that maps tensor network algorithms into parallel logic circuits to simulate quantum spin models on classical hardware.
The company described a Hierarchical Tensor Contraction Pipeline with input/scheduling, core MAC-array compute, and output/reduction layers, claiming a performance improvement of 1.7x vs CPU and energy efficiency improved by more than 2x. HOLO said it holds cash reserves exceeding 3 billion RMB and plans to invest over 400 million USD into blockchain, quantum computing, quantum holography, and related frontier technologies.
MicroCloud Hologram (NASDAQ: HOLO) on Jan 8, 2026 launched a scalable multi-FPGA quantum Fourier transform (QFT) simulator that combines multiple FPGAs with high-bandwidth memory (HBM) to store large complex-amplitude vectors and accelerate QFT operations. The platform uses domain decomposition, point-to-point high-speed links, pipelined FPGA logic for complex arithmetic, and strict synchronization to reduce cross-chip communication and preserve numerical accuracy. HOLO says the design targets larger-scale quantum algorithm simulation, compiler validation, and early industrial verification.
MicroCloud Hologram (NASDAQ: HOLO) released a learnable quantum spectral filter for hybrid graph neural networks on January 5, 2026. The technology maps the graph Laplacian to a trainable quantum circuit to perform spectral transformation, fusing graph convolution and pooling into a quantum process that outputs an n = log(N) probability vector for compressed features.
HOLO states the circuit can compress a 1,000,000-node graph using roughly 20 qubits, uses amplitude/probability encoding, and trains via classical-quantum hybrid optimization. The company also reports cash reserves exceeding 3 billion RMB and plans to invest over 400 million USD into frontier technologies.
MicroCloud Hologram (NASDAQ: HOLO) on January 2, 2026 launched Q-DPC Accelerator, a quantum-enhanced density peak clustering tool for strategy evaluation that combines quantum-assisted data preprocessing, quantum density peak clustering, and quantum-accelerated strategy matching.
The release highlights faster, more accurate clustering and rapid matching in large, complex strategy sets and says the company has cash reserves exceeding 3 billion RMB and plans to invest more than $400 million from those reserves into blockchain, quantum computing, quantum holography, and related AI/AR technologies.
MicroCloud Hologram (NASDAQ: HOLO) launched an FPGA-based quantum computing simulation framework using a serial-parallel architecture that redefines quantum gate execution to reduce hardware resource use approximately linearly with qubit count. The framework serially streams the quantum state vector, multiplexes gate execution in time, and uses moderate parallel modules for critical throughput.
HOLO validated the design on QFT and Grover Search, provided full hardware templates, and said the framework enables scalable FPGA simulation for hundreds-to-thousands of qubits. The company also disclosed cash reserves >3 billion RMB and a plan to invest more than $400 million from those reserves into frontier tech including quantum computing.
MicroCloud Hologram (NASDAQ: HOLO) announced a quantum-enhanced deep convolutional neural network image 3D reconstruction technology system on December 18, 2025. The system integrates quantum convolutional layers, quantum fully connected layers and quantum-optimized 3D models across six core modules: dataset preparation, feature extraction, parameter generation, 3D reconstruction, precision evaluation, and interactive interface. The company says the approach uses quantum superposition and entanglement to improve feature extraction, accelerate training and raise reconstruction precision. The release also discloses cash reserves of over 3 billion RMB and a plan to invest more than $400 million in blockchain, quantum computing, quantum holography and related technologies.
MicroCloud Hologram (NASDAQ: HOLO) announced a quantum-driven 3D intelligent model that integrates quantum computing and AI to auto-generate high-precision 3D models and images with reduced manual intervention. The system uses a quantum-optimized distributed architecture of six core subsystems: quantum-enhanced data acquisition, quantum-accelerated model training, quantum intelligent autonomous generation, quantum secure data management, quantum-empowered data visualization, and quantum-fortified system security.
The company reports cash reserves exceeding 3 billion RMB and plans to invest over 400 million USD from cash reserves into blockchain, quantum computing, quantum holography, and related AI/AR development.
MicroCloud Hologram (NASDAQ: HOLO) on November 20, 2025 proposed a new "quantum degree" concept to quantify synchronization in quantum systems.
The framework uses the number of synchronized non-commuting observables as a measurement standard and reports experimental implementation on a two weakly interacting cavity qubit system platform monitoring Pauli operator expectation values. Company positions the method as compatible with existing synchronization measures and applicable to quantum computing, quantum sensors, and quantum communications, with particular mention of superconducting quantum circuits.
The release also states cash reserves exceed 3 billion RMB and a plan to invest over 400 million USD from those reserves into blockchain, quantum computing, quantum holography, and related frontier technologies.
MicroCloud Hologram (NASDAQ: HOLO) announced development of a quantum-empowered big data real-time computing system that integrates quantum sensing, quantum error correction, a quantum-enhanced real-time computing engine, a quantum algorithm library, quantum visualization, and a distributed fault-tolerant architecture.
The release cites specific performance claims: data cleaning reduced from hour-level to minute-level, computational energy efficiency improved by ~3 orders of magnitude, model training speed improved by ~40%, and the company reports cash reserves exceeding 3 billion RMB with plans to invest over 400 million USD in quantum, blockchain, and related technologies.
MicroCloud Hologram (NASDAQ: HOLO) announced a next-generation quantum convolutional neural network (QCNN) multi-class classification method using a hybrid quantum-classical training framework on Nov 14, 2025.
The system encodes MNIST samples using 8 qubits plus 4 auxiliary qubits, introduces a quantum perceptron and optimized entanglement layers, and reports QCNN accuracy comparable to classical CNNs at the same parameter scale for a four-class task. The company also disclosed cash reserves >3 billion RMB and plans to invest over $400 million in frontier tech including quantum computing.
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