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MicroCloud Hologram Inc. reports company news around holographic technology services and related quantum-security research for the Nasdaq-listed issuer under HOLO.
The company’s established business includes holographic LiDAR services, point-cloud algorithm architecture, imaging solutions, sensor chip design, vehicle intelligent vision technology for ADAS customers, and holographic digital twin services, with revenue mainly generated in China. Recent announcements also center on post-quantum cryptography and quantum-computing technologies, including quantum key distribution, quantum random number generation, Strong Designated Verifier Signature design, Grover-algorithm identity authentication, FPGA-based surface-code simulation, and hybrid quantum-classical 3D object detection models.
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.
MicroCloud Hologram (NASDAQ: HOLO) on Nov 10, 2025 described research into a theoretical framework treating time as a quantum operator, introducing POVM to map spatio-temporal coordinates and extending Lüder projection ideas to quantum evolution. The release says HOLO is developing ultra-precise quantum clocks, exploring zero-delay quantum communication, and optimizing quantum computing algorithms.
The company states it has cash reserves exceeding 3 billion RMB and plans to invest more than $400 million (USD) from those reserves into blockchain, quantum computing, quantum holography, AI/AR and related frontier technologies.
MicroCloud Hologram (NASDAQ: HOLO) expects full-year 2025 net income to exceed RMB 350 million, reversing a RMB 63 million net loss in 2024. The company says 2025 profitability will strengthen its cash position; cash, cash equivalents, and short-term investments currently exceed RMB 3 billion. MicroCloud plans to deploy over US$400 million from those reserves to invest in quantum computing, blockchain, and quantum holography, aiming to establish a leading position in those sectors.
The release contains forward-looking statements and notes related risks and SEC filings.
MicroCloud Hologram (NASDAQ: HOLO) announced a hybrid quantum-classical Quantum Convolutional Neural Network (QCNN) applied to the MNIST multi-class classification task on Oct 24, 2025. The company says the QCNN achieved accuracy comparable to classical CNNs using a quantum circuit with 8 data qubits and 4 auxiliary qubits, a novel Quantum Perceptron model, and a hybrid training loop that combines quantum feature extraction with classical optimization (softmax + cross-entropy). HOLO positions this work as a practical NISQ-era pathway and states plans to invest over $400 million in quantum, quantum holography, AI, AR, and related technologies.
MicroCloud Hologram (NASDAQ: HOLO) on October 23, 2025 announced an improved Grover quantum search algorithm and an FPGA-based implementation for dynamic multi-mode search. The company reports efficient simulation of up to 22 qubits on a single FPGA and a performance prediction model projecting scalability to 32 qubits. Key innovations described include dynamic phase modulation via a Configurable Lookup Table (CLUT), a Reconfigurable Logic Element (RLE) for hierarchical diffusion control, and an oracle-diffusion joint execution module enabling single-cycle execution and pipelineable search. HOLO says these advances reduce gate depth, wiring complexity, and FPGA latency, and that the approach supports multi-mode search applications in cryptanalysis, pattern recognition, and database retrieval.
MicroCloud Hologram (NASDAQ: HOLO) on October 15, 2025 proposed a quantum secure tripartite computing protocol based on blind quantum computing (BQC) to protect client data in multi-client collaborative computing.
The protocol uses BQC's blindness so a remote quantum server can process encrypted quantum inputs from two or more quantum-limited clients without accessing input meaning, output mapping, or client algorithms. HOLO says it extended the method to support multi-party scenarios by adjusting data paths and server workflows, and plans continued optimization as quantum technology advances. The company also disclosed plans to invest over $400 million in related technology sectors.
MicroCloud Hologram (NASDAQ: HOLO) on Oct 13, 2025 proposed a short-term, full-cycle path toward practical quantum computing advantage centered on multi-QPU circuit knitting, error suppression/mitigation, and heuristic algorithms with asymptotic speedup. The company advocates a quantum-centric supercomputing architecture that tightly integrates quantum and classical processors to assign quantum-computable tasks to QPUs and classical tasks to CPUs. HOLO said future software must automate compilation, algorithm design, and user interfaces to deliver a "frictionless" experience and broaden real-world use cases. The release also states plans to invest over $400 million across quantum computing, quantum holography, blockchain, AI, and AR development.
MicroCloud Hologram (NASDAQ: HOLO) announced a proposed universal “quantum variable” computing method and a specific implementation model on October 7, 2025. The method is designed to work with traditional qubits, high‑dimensional qubits (d>2), and quantum continuous variables, using an auxiliary‑mediated mechanism and adaptive local measurements.
The proposed implementation relies on three elements: repeated use of a single two‑body auxiliary‑register interaction gate, auxiliaries prepared in a single state, and local measurements of auxiliaries. The company also said it plans to invest over $400 million in quantum computing, quantum holography, blockchain, AI and AR technology sectors.
MicroCloud Hologram (NASDAQ: HOLO) on October 3, 2025 reported research defining C-NOT gate cost bounds and near‑optimal decompositions for quantum channels using three circuit models: QCM, RandomQCM, and MeasuredQCM. The study proves lower bounds on C-NOT counts via entanglement‑entropy and circuit complexity, showing bounds scale with qubit dimensions and entanglement needs. HOLO reports practical decompositions: QCM within 1.5× the lower bound, RandomQCM within 1.2×, and MeasuredQCM often approaching the theoretical lower bound. The work proposes a measurement–feedback paradigm to reduce C-NOT resources while noting implementation challenges in measurement timing and classical control.
MicroCloud Hologram (NASDAQ: HOLO) has unveiled its groundbreaking Multi-Class Quantum Convolutional Neural Network (QCNN) technology. This innovation leverages quantum computing advantages to enhance multi-class classification of classical data, demonstrating superior performance compared to traditional neural networks.
The QCNN technology utilizes parameterized quantum circuits and quantum states to process data more efficiently than classical CNNs, particularly in scenarios involving multiple categories. The system shows remarkable advantages in computational efficiency, convergence speed, and energy consumption, making it particularly valuable for applications in speech recognition, medical diagnostics, financial risk control, and autonomous driving.
As part of its quantum intelligence strategy, HOLO plans to invest over $400 million in cutting-edge technology sectors, including quantum computing, quantum holography, blockchain development, and AI/AR technologies.