MicroCloud Hologram Inc Stock Price, News & Analysis

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.

MicroCloud Hologram Inc. (NASDAQ: HOLO) has unveiled its quantum link efficiency optimization technology, marking a significant advancement in quantum transmission. The technology leverages quantum entanglement and teleportation to achieve high-fidelity quantum information transfer, introducing a novel quantum link architecture and an innovative quantum ant colony algorithm for optimized routing.

The company has announced plans to invest over $400 million in cutting-edge technology sectors, including quantum computing, quantum holography, blockchain development, and AI/AR technologies. The technology demonstrates practical applications in quantum key distribution and quantum computing, enabling secure multi-user quantum key distribution and improved processing capabilities for quantum computing systems.

MicroCloud Hologram Inc. (NASDAQ: HOLO) has developed a groundbreaking universal quantum probability theory that bridges quantum measurement theory and decision-making applications. The theory provides a mathematically rigorous framework that can handle both operational measurable events and composite events involving non-commutative observables.

The company's innovative approach enables quantitative predictions in various fields, from psychological experiments to economic forecasting. HOLO plans to invest over $400 million in quantum computing, quantum holography, blockchain, AI, and AR technologies. The theory's applications span individual and group decision-making, with demonstrated superior accuracy compared to classical utility models.