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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) has acquired 140,268 shares of MicroStrategy (MSTR) common stock via the maturity and settlement of a structured note investment product. Based on MSTR’s prior trading-day close, the shares had an estimated market value of about $15.76 million.
The underlying MSTR shares have been transferred into MicroCloud Hologram’s name and will be recorded and managed as investment assets on its balance sheet. The company described MSTR, which it views as having significant exposure to Bitcoin-related assets, as an important target within the digital asset market and called this transaction a key step in its broader strategy of investing in Bitcoin and related assets.
MicroCloud Hologram plans to continue strengthening its digital asset investment activities while considering market conditions, regulation and its financial position, and emphasized that equity-related assets can be highly volatile. The company said it will monitor risks closely and provide timely market updates on material developments.
MicroCloud Hologram (NASDAQ: HOLO) announced the launch of its Deep Spiking Quantum Neural Network (DSQ-Net) for noisy image classification, integrating variational quantum circuits with deep spiking neural networks in an enterprise-level hybrid quantum-classical framework. The system embeds quantum circuits directly into SNN training to handle non-differentiable spikes and stochastic neuron dynamics, using amplitude encoding to compress spike features into qubit states. According to the company, simulations on multiple noisy image datasets show DSQ-Net achieves over 90% accuracy on unseen noisy images and outperforms comparable classical SNNs, with slower performance degradation as noise increases. HOLO highlights potential applications in high-noise perception scenarios and notes cash reserves above 3 billion RMB, with plans to invest over US$400 million in blockchain, quantum computing, quantum holography, AI and AR.
MicroCloud Hologram (NASDAQ: HOLO) announced a practical approximate quantum multiplier for NISQ devices, based on configurable approximate adders that cut circuit depth and T-gate count.
According to MicroCloud Hologram, tests on simulators and real hardware show higher output fidelity than exact multipliers, slight but controllable precision deviations, good scalability to other quantum arithmetic, and support from over $390M in cash reserves with plans to invest more than $400M in quantum-related R&D.
MicroCloud Hologram (NASDAQ: HOLO) announced proprietary technology for approximate quantum state preparation and an entanglement-dependent complexity algorithm. The framework shifts much computational load to classical systems, cuts circuit depth by over 50% versus exact loading on noisy devices, and can slightly improve quantum machine learning accuracy.
According to MicroCloud Hologram, this supports quantum machine learning, data analytics and simulation, and may ease large-scale data loading for sectors like finance and materials. The company reports cash reserves above $390 million and plans to invest over $400 million in blockchain, quantum computing, quantum holography and related fields.
MicroCloud Hologram (NASDAQ: HOLO) announced a customizable quantum simulation dedicated architecture built entirely on classical logic gates. The hardware replaces serial software simulation with parallel, pipelined processing, aiming to accelerate verification of complex quantum algorithms. FPGA verification has been completed, and tests on 30‑qubit systems show gate execution speeds about two orders of magnitude faster than software simulators, with power usage around one‑fifth of traditional GPU‑based simulators. The company reports cash reserves above 3 billion RMB and plans to invest over 400 million USD into blockchain, quantum computing, quantum holography, AI and AR.
MicroCloud Hologram (NASDAQ: HOLO) announced a hierarchical FPGA Quantum Fourier Transform (QFT) IP core generator based on its digital qubit concept. The system auto-generates synthesizable VHDL QFT coprocessors and test circuits, enabling scalable, verifiable quantum algorithm execution on FPGA for research, enterprise and educational use.
MicroCloud Hologram (NASDAQ: HOLO) announced a proprietary Bitcoin post-quantum security solution based on quantum key distribution (QKD). The design targets compatibility with Bitcoin’s existing network, minimizing node upgrades, supporting legacy-asset migration, and addressing node computing constraints. The company holds cash reserves above $390M and plans to invest over $400M in blockchain, quantum computing, and quantum holography R&D.
MicroCloud Hologram (NASDAQ: HOLO) announced a post-quantum Strong Designated Verifier Signature (SDVS) based on high-order multivariate algebraic equations and post-quantum key agreement, aimed at providing quantum-resistant Bitcoin transaction signatures and privacy protocols.
The scheme uses trapdoor multivariate polynomial systems, claims sub-second signing on standard CPUs, signature sizes several times ECDSA at 128-bit PQ security, and plans community submission and audits. HOLO reports cash reserves >$390 million and plans to invest >$400 million in blockchain quantum security and related R&D.
MicroCloud Hologram (NASDAQ: HOLO) announced an Efficient Deterministic Quantum State Preparation Algorithm that uses reduced Algebraic Decision Diagrams to map quantum-state structure to circuits. The method yields circuit complexity O(k·n) tied to reduced decision-diagram paths, claims deterministic fidelity 1 (ideal noise-free), and reports CNOT reductions of 86.61%–99.9% for a Byzantine agreement initial state. The company also discloses cash reserves >$390M and plans to invest >$400M in blockchain, quantum R&D, and related technologies.
MicroCloud Hologram (NASDAQ: HOLO) announced an R&D plan to design a Bitcoin quantum-resistant protocol with a progressive, upgradable post-quantum security framework. Key elements include lattice- and hash-based signatures, hybrid ECC+PQC dual-signature verification, delayed-key address formats, multi-layer verification, and on-chain upgrade governance.
The company reports cash reserves exceeding $390 million and plans to invest over $400 million into blockchain quantum security, quantum computing, and related technologies.