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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 new state-based imaginary-time evolution quantum simulation method on April 8, 2026. The protocol uses controlled swap gates and measurement-based post-selection to simulate non-unitary imaginary-time evolution fully on quantum hardware, claiming error rates below 10^{-3} in small-system simulations.
The company says the approach avoids classical feedback, reduces circuit depth, removes tomography needs, and targets noise-robust ground-state solving suitable for NISQ devices.
MicroCloud Hologram (NASDAQ: HOLO) announced on April 6, 2026 a plan to invest $400 million to develop a quantum-resistant Bitcoin protocol. The program targets a multi-layered hybrid cryptographic design, phased soft-fork deployment, hardware acceleration, and community collaboration to enable gradual migration to post-quantum signatures.
The company said it holds cash reserves exceeding $390 million and will work with academia and open-source contributors to pilot testnets, pilot hybrid signing, and protect historical assets via time-lock transfers.
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.