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) launched an FPGA-based hardware abstraction platform for quantum computing on March 31, 2026. The platform implements qubit state storage, phase-shift control, and probability measurement as FPGA logic using fixed-point vector storage, LUT/BRAM lookup tables, CORDIC rotation, and configurable precision trade-offs.
HOLO positions this architecture as a lightweight, low-power abstraction layer for quantum algorithm acceleration, quantum control systems, and embedded quantum devices, emphasizing scalability and reduced FPGA resource consumption.
MicroCloud Hologram (Nasdaq: HOLO) filed its Form 20-F for the fiscal year ended December 31, 2025 and reported strong 2025 operating results.
Total revenue reached RMB 403.7 million (USD 56.5 million), up 39.1% year-over-year; net loss narrowed to RMB 50.2 million (USD 7.0 million). Working capital rose to RMB 2,693.7 million (USD 383.2 million), a 70.5% increase. Customer retention improved to 41%.
MicroCloud Hologram (NASDAQ: HOLO) on March 13, 2026 issued an initial estimate that net profit attributable to shareholders for 2025 will show a loss versus 2024.
The company attributes the loss to investment income fluctuations and fair-value losses on certain financial assets, while reporting steady core business growth and increases in cash reserves and net assets. Management says it will optimize systems and strengthen risk controls to support long-term stability.
MicroCloud Hologram (NASDAQ: HOLO) on March 4, 2026 announced a hardware-efficient Quantum Recurrent Neural Network (QRNN) for sequential learning built from modular Quantum Recurrent Blocks (QRB) and an interleaved stacking design.
The design reduces circuit depth and coherence-time dependence for NISQ devices, uses a hybrid quantum-classical training loop, and the company cites superior prediction accuracy versus classical RNNs. HOLO reports cash reserves > 3 billion RMB and plans to invest > 400 million USD into frontier tech including quantum computing.
MicroCloud Hologram (NASDAQ: HOLO) proposed a hybrid CPU–FPGA quantum AI simulator optimized for application-specific quantum kernels (ASQK) for image classification. The company reports FPGA-based kernel estimation is ~500x faster than CPU simulation at the same scale and maintains on‑chip logic utilization below 82%.
HOLO tested on MNIST and Fashion‑MNIST, achieving accuracy comparable to an optimized RBF kernel and plans expanded support for circuit types, automated mapping compilers, and multi‑node hybrid simulation.
MicroCloud Hologram (NASDAQ: HOLO) introduced an FPGA-based surface code quantum simulator optimized for rotated distance surface codes, claiming >5x speed vs GPU for distance-5 rotated codes and ~30% lower power consumption. The platform maps stabilizer measurement and MWPM decoding onto FPGA logic for real-time syndrome decoding and Monte Carlo error-rate estimation.
The simulator supports multiple noise models, real-time feedback, and fault-tolerant simulation features; the company cites cash reserves >3 billion RMB and plans to invest >400 million USD in frontier technologies including quantum computing.
MicroCloud Hologram (NASDAQ: HOLO) announced a quantum intelligent interconnected fault-tolerant consensus algorithm on Feb 18, 2026, designed to integrate quantum computing into consensus for edge financial networks. The algorithm claims dynamic node access, quantum Byzantine fault tolerance, quantum-enhanced node selection, and real-time quantum verification to support secure, low-latency financial edge services.
The company disclosed cash reserves exceeding 3 billion RMB and a plan to invest over $400 million (from reserves) in blockchain, quantum computing, and related frontier technologies.
MicroCloud Hologram (NASDAQ: HOLO) announced a transmission protocol for three-particle GHZ and W entangled states using a Brownian state four-particle quantum channel and quantum Fourier transform–based projection measurement.
The company reports designed quantum gate sequences, verified feasibility on superconducting processors, and states cash reserves >3 billion RMB with plans to invest >400 million USD in quantum and related frontier technologies.
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.