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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) 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.
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.