MicroCloud Hologram Inc. Develops Serial-Parallel Architecture-Based FPGA Quantum Computing Simulation Framework

Rhea-AI Summary

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.

Positive

• Validated on QFT and Grover Search
• Framework provides complete hardware templates for rapid development
• Claims resource usage grows approximately linearly with qubit count

Negative

• Plan to invest more than $400 million from cash reserves may reduce liquidity

Key Figures

Cash reserves >3 billion RMB Stated company cash reserves for frontier tech development

Planned investment >$400 million Planned spend on blockchain, quantum computing, quantum holography, AI/AR

Current share price $2.97 Price before reaction to FPGA quantum simulation news

52-week high $370 Indicates severe drawdown versus prior peak

52-week low $2.77 Recent low, near current trading level

Market cap $42,536,563 Equity value prior to the latest announcement

Today’s volume 431,205 shares Compared with 20-day average volume of 485,827

Short interest 21.52% Reported short_percent in risk context

Market Reality Check

$3.00 Last Close

Volume Volume 431,205 is slightly below 20-day average 485,827 (relative volume 0.89). normal

Technical Shares at $2.97 are trading below the 200-day MA of $9.02 and far under the $370 52-week high.

Peers on Argus 3 Up 1 Down

Peers show mixed moves: NEON -0.5%, WBX +3.53%, LINK +6.49%, DSWL flat, ELTK +2.89%. Momentum scanner flags KULR and LINK up strongly while GAUZ is down, suggesting stock-specific factors for HOLO rather than a uniform sector rotation.

Historical Context

Date	Event	Sentiment	Move	Catalyst
Dec 18	Quantum AI tech	Positive	-1.4%	Announced quantum-enhanced 3D reconstruction system with six core modules.
Dec 04	Quantum 3D model	Positive	+4.3%	Launched quantum-driven 3D intelligent model integrating quantum computing and AI.
Nov 20	Quantum sync metric	Positive	-2.3%	Proposed new quantum degree concept for synchronization measurement in quantum systems.
Nov 17	Quantum big data	Positive	+2.9%	Unveiled quantum-empowered big data real-time computing system with performance gains.
Nov 14	QCNN launch	Positive	-9.9%	Released quantum CNN multi-class classification method using hybrid quantum-classical training.

Pattern Detected

Recent quantum/AI tech announcements often saw mixed reactions, with several positive-sounding releases followed by negative price moves, indicating frequent divergence between news tone and short-term trading.

Recent Company History

Over the last few months, HOLO has repeatedly announced quantum-focused technologies, from a quantum-empowered big data real-time computing system on Nov 17 to multiple quantum AI and synchronization advances. Several releases reiterated cash reserves of >3 billion RMB and planned investments of >$400 million into blockchain, quantum computing, and quantum holography. Price reactions have been mixed, with both gains and declines following seemingly positive technology milestones, a context for assessing today’s FPGA-based quantum simulation framework.

Market Pulse Summary

This announcement details an FPGA-based quantum computing simulation framework using a serial-parallel architecture, aiming for scalable simulations from hundreds to thousands of qubits with improved resource efficiency. Recent history shows a series of quantum and AI releases and repeated references to cash reserves above 3 billion RMB and planned investments exceeding $400 million in frontier technologies. Investors may watch how consistently these technical platforms progress toward commercialization and how future disclosures clarify adoption and deployment metrics.

Key Terms

fpga technical

"launched a brand-new FPGA-based quantum computing simulation framework"

A field-programmable gate array (FPGA) is a type of computer chip whose internal wiring can be changed after it is made, allowing engineers to program custom hardware functions without designing a new chip. For investors, FPGAs matter because that flexibility lets companies quickly adapt products to new software, standards, or customer needs—like a toolbox that can be rearranged to build different machines—so demand and pricing can shift with trends in data centers, telecommunications, AI, and specialized electronics.

quantum fourier transform (qft) technical

"validated on core quantum algorithms such as Quantum Fourier Transform (QFT)"

A quantum Fourier transform (QFT) is a mathematical operation performed by a quantum computer that rearranges and combines quantum information to reveal periodic patterns, much like how a music equalizer separates a song into bass and treble. It is a core ingredient in many quantum algorithms that could solve certain problems far faster than today's computers, so its development matters to investors because advances could change computing power, data security and industries that rely on heavy computation.

grover search technical

"validated on core quantum algorithms such as Quantum Fourier Transform (QFT) and Grover Search"

A Grover search is a quantum computing algorithm that finds a desired item inside an unsorted list much faster than ordinary computers—imagine flipping through a shuffled phone book and locating one name in far fewer tries. It matters to investors because this speed-up could change the economics of tasks like database search, optimization, and some forms of cryptography, potentially enabling new products or undermining existing security assumptions. Widespread practical impact depends on advances in scalable quantum hardware and error correction.

qubits technical

"simulating quantum circuits at the level of hundreds to thousands of qubits in the future"

Qubits are the basic units of information in quantum computing, similar to how traditional computers use bits. Unlike regular bits that are either 0 or 1, qubits can represent both at the same time, allowing quantum computers to process complex problems much faster. This potential for unprecedented speed and power could transform industries, making qubits a key focus for investors interested in cutting-edge technology.

cnot technical

"multi-qubit gates (such as CNOT, controlled phase shift, or the cascaded phase-shift gates in QFT)"

CNOT is shorthand for the CCR4–NOT complex, a group of proteins inside cells that helps control how long messenger RNA messages last and therefore how much of a protein gets made. Investors should care because changes in CNOT activity can be linked to disease pathways and are studied as potential drug targets or biomarkers; think of it as a volume control for protein production that can affect the success of therapies or diagnostics.

lidar technical

"holographic light detection and ranging (LiDAR) solutions based on holographic technology"

Lidar, which stands for Light Detection and Ranging, is a technology that uses laser beams to create detailed, three-dimensional maps of the environment. It works like a sophisticated eye that measures distances by bouncing light off objects, helping machines see and understand their surroundings. For investors, lidar is important because it enables advancements in autonomous vehicles, robotics, and mapping, which can drive innovation and growth in related industries.

adas technical

"providing services to customers offering holographic advanced driving assistance systems (ADAS)"

Advanced Driver Assistance Systems (ADAS) are electronic systems in vehicles that assist the driver with safety tasks. Examples include automatic emergency braking, lane keeping assist, and adaptive cruise control. These systems use sensors and cameras to improve vehicle safety.

digital twin technical

"also provides holographic digital twin technology services and owns proprietary holographic digital twin"

A digital twin is a live virtual replica of a physical asset, process, or system that mirrors real-world behavior using data and models so users can test changes, predict problems, and measure performance without touching the real thing. For investors, digital twins matter because they can lower maintenance costs, speed product development, improve uptime and reliability, and make future cash flows and risks easier to forecast — like using a flight simulator to safely train and tune a real airplane.

AI-generated analysis. Not financial advice.

SHENZHEN, China, Dec. 22, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a brand-new FPGA-based quantum computing simulation framework founded on a serial-parallel architecture. This framework adopts an innovative hardware-level data path design and, by redefining the execution mode of quantum gate operations, achieves a linear reduction in resource utilization.

This framework not only demonstrates the inherent advantages of hardware-simulated quantum systems in terms of speed and parallelism but also marks a key step taken by HOLO in the direction of quantum computing hardware acceleration. This technology has been validated on core quantum algorithms such as Quantum Fourier Transform (QFT) and Grover Search, providing a scalable path for simulating quantum circuits at the level of hundreds to thousands of qubits in the future.

The rapid evolution of quantum algorithms has made it an urgent need for researchers and engineering teams to have tools capable of verifying, debugging, and testing large-scale quantum circuits. However, today’s real quantum computers remain subject to multiple limitations, including insufficient qubit counts, error-correction mechanisms still under development, and significant system noise interference. These constraints mean that many complex quantum algorithms cannot be run directly on quantum machines.

The technical achievement released by HOLO this time successfully solves the high resource consumption problem of quantum gate operations in hardware mapping through an advanced hardware architecture design that combines serial and parallel approaches, enabling quantum algorithms to be integrated into FPGAs in a far more efficient manner.

Traditional pipelined FPGA implementations typically expand quantum gate operations into a large amount of parallel logic, which, when handling multi-qubit gates (such as CNOT, controlled phase shift, or the cascaded phase-shift gates in QFT), results in exponential resource overhead. The new architecture adopts a serial-parallel combination mode that decomposes and schedules quantum gate operations, allowing their execution to be multiplexed in the time dimension rather than rigidly expanded in the spatial dimension.

At the logic level, HOLO’s architecture serially processes the quantum state vector as a data stream inside the hardware and, through strict control of the data path, enables a large number of resources to be shared when each qubit receives gate operations. For critical steps that require parallel execution, moderate parallel modules are used for acceleration, thereby striking a balance between performance and resource consumption.

The core idea of this serial-parallel architecture is: parallelism is used for critical data throughput, while serial execution is used for gate-level multiplexing, collectively achieving linear resource savings. This represents an important technical breakthrough in hardware quantum simulation architectures.

When implementing quantum algorithm simulation in FPGAs, performance is highly dependent on the design of the datapath. HOLO’s framework performs full-chain optimization—from data flow control and register layout to fixed-point quantization strategies—making resource usage grow approximately linearly with the number of qubits rather than exponentially.

The Quantum Fourier Transform (QFT) is the core of many quantum algorithms, including Shor’s factorization algorithm, quantum phase estimation, and numerous quantum machine learning toolchains. In classical systems, QFT requires handling a large number of controlled phase-shift gates and swap operations, resulting in enormous hardware overhead.

Experiments show that when processing the Grover algorithm, this framework achieves orders-of-magnitude speed improvement compared with traditional software simulators while maintaining low hardware occupancy, making FPGA simulation practically an important engineering tool for future quantum algorithm debugging.

The achievement released by HOLO this time is not merely an FPGA quantum algorithm simulator but a complete baseline framework. All future research based on hardware quantum simulation can be extended upon this foundation. The framework provides complete hardware templates, including a quantum state read/write module, quantum gate execution module, complex-number arithmetic unit, data path manager, and high-level controller, enabling rapid construction of new algorithm simulation modules on this basis.

HOLO’s FPGA quantum computing simulation framework based on a serial-parallel architecture marks a major breakthrough in quantum computing hardware simulation capabilities. Through innovative serial-parallel combination design, data path optimization, resource reuse strategies, and successful case validation, this framework provides an engineered, scalable, and low-cost solution for the verification of future large-scale quantum algorithms.

This is not only a technological innovation but also important infrastructure construction for the future development of quantum computing. It is believed that this framework will become one of the standard quantum algorithm simulation platforms jointly used by academia and industry, accelerating the era when quantum computing truly enters engineering implementation and large-scale applications.

About MicroCloud Hologram Inc.

MicroCloud Hologram Inc. (NASDAQ: HOLO) is committed to the research and development and application of holographic technology. Its holographic technology services include holographic light detection and ranging (LiDAR) solutions based on holographic technology, holographic LiDAR point cloud algorithm architecture design, technical holographic imaging solutions, holographic LiDAR sensor chip design, and holographic vehicle intelligent vision technology, providing services to customers offering holographic advanced driving assistance systems (ADAS). MicroCloud Hologram Inc. provides holographic technology services to global customers. MicroCloud Hologram Inc. also provides holographic digital twin technology services and owns proprietary holographic digital twin technology resource libraries. Its holographic digital twin technology resource library utilizes a combination of holographic digital twin software, digital content, space data-driven data science, holographic digital cloud algorithms, and holographic 3D capture technology to capture shapes and objects in 3D holographic form. MicroCloud Hologram Inc. focuses on developments such as quantum computing and quantum holography, with cash reserves exceeding 3 billion RMB, and plans to invest more than 400 million in USD from the cash reserves to engage in blockchain development, quantum computing technology development, quantum holography technology development, and derivatives and technology development in frontier technology fields such as artificial intelligence AR. MicroCloud Hologram Inc.'s goal is to become a global leading quantum holography and quantum computing technology company.

Safe Harbor Statement

This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as "may," "will," "intend," "should," "believe," "expect," "anticipate," "project," "estimate," or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company's expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company's goals and strategies; the Company's future business development; product and service demand and acceptance; changes in technology; economic conditions; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic; financial condition and results of operations; the expected growth of the holographic industry and business conditions in China and the international markets the Company plans to serve and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by the Company with the Securities and Exchange Commission ("SEC"), including the Company's most recently filed Annual Report on Form 10-K and current report on Form 6-K and its subsequent filings. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company's filings with the SEC, which are available for review at www.sec.gov. The Company undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof.

Contacts

MicroCloud Hologram Inc.

Email: IR@mcvrar.com

FAQ

What did MicroCloud Hologram (HOLO) announce on December 22, 2025 about FPGA quantum simulation?

HOLO announced a serial-parallel FPGA quantum simulation framework designed to reduce resource use and validated on QFT and Grover Search.

How does HOLO’s serial-parallel architecture reduce FPGA resource consumption for quantum gates?

It multiplexes gate execution in time, streams the quantum state vector serially, and uses moderate parallel modules for critical throughput to save resources.

What algorithms did HOLO validate its FPGA simulator on and what scale is targeted?

HOLO validated on Quantum Fourier Transform and Grover Search and says the framework enables simulation toward hundreds to thousands of qubits.

What financial resources did HOLO disclose alongside the FPGA framework announcement?

The company disclosed cash reserves exceeding 3 billion RMB and a plan to invest more than $400 million from those reserves into frontier technologies.

What development resources does the HOLO FPGA framework provide for researchers?

The framework includes hardware templates: state read/write, gate execution, complex arithmetic, datapath manager, and a high-level controller for rapid module construction.