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MicroCloud Hologram Inc. Launches Customizable Quantum Simulation Dedicated Architecture

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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.

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AI-generated analysis. Not financial advice.

Positive

  • Dedicated classical-logic hardware reportedly boosts 30-qubit gate speed by about 100x versus software
  • Power consumption for 30-qubit simulations about one-fifth of traditional GPU simulators
  • Architecture modeled in HDL and functionally verified on FPGA hardware
  • Quantum state memory supports 2^n complex amplitudes with multi-port parallel access
  • Microprogrammed control enables customizable support for different quantum algorithms
  • Reported cash reserves above 3 billion RMB and planned >$400M USD tech investment

Negative

  • None.

Key Figures

Price change: -4.41% 52-week range: $1.535 – $10.00 Cash reserves: >3 billion RMB +5 more
8 metrics
Price change -4.41% 24h move prior to news at price <b>$2.17</b>
52-week range $1.535 – $10.00 Price <b>$2.17</b> is 41.37% above 52-week low, 78.3% below high
Cash reserves >3 billion RMB Company-level cash reserves referenced in article
Planned investment >$400M Planned spending from cash reserves on blockchain, quantum and AR
Simulation scale 30 qubits Hardware verification scenario comparing against software simulators
Speedup vs software Two orders of magnitude Gate execution speed advantage for 30-qubit systems
Power vs GPU simulators One-fifth Power consumption relative to traditional GPU-based simulators
CNOT reduction 86.61%–99.9% Reduction range for Byzantine agreement initial state in prior algorithm news

Market Reality Check

Price: $2.17 Vol: Volume 1,155,939 is 1.56x...
high vol
$2.17 Last Close
Volume Volume 1,155,939 is 1.56x the 20-day average of 739,608, indicating elevated activity ahead of this news. high
Technical Price at $2.17 is trading below the 200-day MA of $3.15 and 78.3% under the 52-week high.

Peers on Argus

HOLO was down 4.41% with mixed peers: NEON -4.47%, LINK -9.9%, DSWL -3.17%, whil...
1 Down

HOLO was down 4.41% with mixed peers: NEON -4.47%, LINK -9.9%, DSWL -3.17%, while WBX and ELTK were modestly positive. Only LINK appeared in a momentum scan, so this looks more stock-specific than a broad sector move.

Historical Context

5 past events · Latest: May 21 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
May 21 Quantum FPGA tool Positive +6.3% Launch of FPGA QFT IP core generator for scalable quantum algorithm execution.
May 11 Crypto PQ security Positive +1.1% Quantum key distribution-based Bitcoin post-quantum security design and large R&D plans.
May 6 Post-quantum signatures Positive +7.3% Strong Designated Verifier Signature scheme for quantum-resistant Bitcoin transactions.
May 4 State prep algorithm Positive +1.8% Efficient deterministic quantum state preparation algorithm with large CNOT gate reductions.
Apr 22 PQ protocol R&D Positive +1.6% Launch of R&D plan for Bitcoin quantum-resistant protocol with layered PQ security.
Pattern Detected

Recent quantum and crypto-security announcements have coincided with consistently positive next-day moves, suggesting the stock has tended to respond favorably to similar innovation updates.

Recent Company History

Over the last six weeks, HOLO has issued a series of R&D-heavy announcements across quantum simulation and Bitcoin post-quantum security. News on Apr 22, May 4, May 6, May 11, and May 21 all described technical advances and reiterated cash reserves above $390M with plans to invest over $400M in quantum and blockchain. Each event saw a positive 24h price reaction between 1.14% and 7.32%, framing today’s architecture launch within a pattern of innovation-led moves.

Market Pulse Summary

This announcement highlights a dedicated classical-hardware architecture for quantum simulation that...
Analysis

This announcement highlights a dedicated classical-hardware architecture for quantum simulation that targets several-order-of-magnitude speedups and lower power for systems up to at least 30 qubits. It builds on a string of quantum and post-quantum developments since April 2026. Investors monitoring the story may track further validation beyond FPGA modeling, progress on integrating neural network accelerators and noise logic, and how the company allocates its >3 billion RMB cash reserves and planned >$400M technology investments.

Key Terms

quantum algorithms, fpga, nisq devices, adas
4 terms
quantum algorithms technical
"it has successfully achieved efficient simulation of quantum algorithms."
Quantum algorithms are step-by-step recipes designed for quantum computers that use the unusual rules of quantum physics to tackle certain calculations much faster or differently than ordinary computers. They matter to investors because they can make some industries dramatically more efficient — speeding drug discovery, improving complex trading and optimization tasks, or threatening current encryption — so companies that master or are exposed to them may gain advantage or face new risks.
fpga technical
"functional verification was completed on the FPGA platform, proving its effectiveness"
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.
nisq devices technical
"more realistically reproduce the characteristics of NISQ devices."
NISQ devices are early-generation quantum computers that use a moderate number of quantum bits and are prone to errors and noise, like prototype machines with delicate components that sometimes misbehave. They matter to investors because they represent the current practical frontier of quantum computing—offering glimpses of new computational power and potential niche advantages, while also carrying high technical risk and heavy R&D costs that affect companies’ timelines, partnerships and valuation.
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.

AI-generated analysis. Not financial advice.

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SHENZHEN, China, June 01, 2026 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, announces that, through dedicated processor hardware constructed using pure classical logic gates, it has successfully achieved efficient simulation of quantum algorithms. This will completely change the paradigm of quantum computing research, allowing researchers to verify complex algorithms in a much shorter time and paving the way for the development of future practical quantum hardware.

HOLO, as a technology enterprise focused on quantum information processing and hardware acceleration, has accumulated multiple patents in the fields of quantum simulation and quantum algorithm optimization. The dedicated hardware design technology released this time is precisely based on many years of profound accumulation in classical digital circuit design and parallel computing architecture. The core of this technology lies in abandoning the serial execution mode of traditional software simulation and instead adopting customizable dedicated processor hardware to directly simulate the execution process of quantum algorithms. This hardware is entirely built upon classical logic gates, including basic units such as AND gates, OR gates, NOT gates, adders, and multipliers, yet it can accurately reproduce the quantum state evolution and measurement processes, thereby overcoming the inherent limitations of software simulators in parallelism and real-time performance.

The proposal of this technology originates from a profound insight into the essence of quantum computing simulation. The execution of quantum algorithms is essentially the multiplication of quantum state vectors and unitary matrices, as well as the final probabilistic measurement sampling. In traditional software simulators, these operations rely on instruction sequences of general-purpose CPUs or GPUs, facing issues such as memory access latency, computational resource contention, and serial bottlenecks, resulting in exponential growth in simulation time for systems exceeding 20 qubits. In contrast, HOLO’s new hardware design transforms quantum simulation into a purely parallel and pipelined execution mode on classical hardware. This mode utilizes the close collaboration of dedicated registers, memory, and computing units to achieve unobstructed data flow along the hardware data path, thereby improving simulation efficiency by several orders of magnitude. The entire architecture was comprehensively modeled using HDL hardware description language, and functional verification was completed on the FPGA platform, proving its effectiveness and stability in actual quantum operation execution.

In the core design of the hardware architecture, the quantum state memory plays a crucial role. It is responsible for storing the individual states of qubits and the group states after multi-qubit entanglement. Unlike the memory management of general-purpose computers, this memory adopts a dedicated address mapping mechanism to compactly store quantum state vectors in complex number form (real part and imaginary part) in a high-speed SRAM array. For n qubits, the storage capacity precisely corresponds to 2^n complex amplitude values, with each amplitude value represented in fixed-point or floating-point format to balance precision and hardware resource consumption. The memory internally integrates multi-port access logic, utilizing classical decoders and multiplexers to achieve the ability to simultaneously read multiple quantum state components. This design ensures that when performing tensor product operations, data can be loaded in parallel into the computing units, avoiding the frequent cache miss problems common in software. In addition, the quantum state memory also supports a state normalization module, which uses classical adders and multipliers to compute the sum of squared amplitudes in real time and applies a normalization factor, thereby maintaining the physical consistency of the quantum state.

The control unit, serving as the brain of the entire system, adopts a microprogrammed design approach to manage and coordinate the operation of various functional units. It pre-compiles the gate sequences of quantum algorithms into micro-instruction sequences, which are stored in the control memory. Each micro-instruction specifies the selection of the data path, the activation of the operation type, and the bus arbitration strategy. For example, when executing the Grover search algorithm, the control unit first issues micro-instructions to load the initial uniform superposition state, then cyclically executes the matrix multiplication of the Oracle operator and the diffusion operator, and finally activates the measurement unit for result sampling. The flexibility of the microprogram allows users to dynamically load control codes for different quantum algorithms through external interfaces, thereby achieving hardware customizability. This microcode control logic is entirely built upon classical state machines and decoders, ensuring the correct timing of the data path and avoiding any clock domain crossing issues. In its design, HOLO also incorporates an error detection mechanism that uses parity checks and redundant computing units to monitor operational consistency in real time, further enhancing the reliability of the hardware.

The data communication of the entire hardware architecture is efficiently coordinated through a carefully designed bus system. According to the frequency of information exchange, a wide-bit-width dedicated bus is adopted between the quantum state memory and the computing units, supporting burst mode transmission; the measurement unit and the control unit share a low-speed bus for status reporting; the temporary memory and the operator memory are connected through a crossbar network to achieve dynamic routing of arbitrary operators. This bus architecture draws on the experience of classical multi-processor systems but has been optimized for the characteristics of quantum simulation — high-frequency operation data paths are given priority, reducing arbitration overhead. Simulation verification results show that when processing systems containing 30 qubits, the hardware’s gate execution speed is two orders of magnitude faster than software simulators, and power consumption is also controlled within one-fifth of that of traditional GPU simulators.

Looking to the future, HOLO will continue to deepen the research of this technology. The R&D team is exploring the integration of neural network accelerators with quantum simulation units to form a hybrid classical-quantum hardware architecture, further improving the training efficiency of variational algorithms. At the same time, to meet the needs of noise simulation, the team plans to integrate programmable noise injection logic into the measurement unit to more realistically reproduce the characteristics of NISQ devices. It is believed that through continuous innovation, quantum simulation driven by classical logic gates will accelerate the arrival of quantum advantage and inject new momentum into the progress of human science and technology.

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 quantum simulation architecture did MicroCloud Hologram (NASDAQ: HOLO) launch on June 1, 2026?

MicroCloud Hologram launched a customizable quantum simulation architecture built on classical logic gates. According to MicroCloud Hologram, it uses dedicated processor hardware to simulate quantum algorithms in parallel, aiming to overcome performance limits of traditional CPU and GPU software simulators.

How much faster is MicroCloud Hologram HOLO’s new quantum simulation hardware than software simulators?

According to MicroCloud Hologram, the new hardware achieves gate execution speeds two orders of magnitude faster for 30-qubit systems. The design uses parallel, pipelined data paths and specialized memory to reduce bottlenecks seen in classical CPU and GPU-based quantum software simulators.

How does MicroCloud Hologram’s HOLO architecture simulate quantum states using classical hardware?

The architecture stores 2^n complex amplitudes for n qubits in high-speed SRAM. According to MicroCloud Hologram, multi-port memory, dedicated registers, and computing units perform matrix-vector operations and normalization to reproduce quantum state evolution and measurement on purely classical logic gates.

What customization features does MicroCloud Hologram HOLO’s quantum simulator provide for different algorithms?

MicroCloud Hologram uses a microprogrammed control unit that compiles quantum gate sequences into micro-instructions. According to MicroCloud Hologram, users can load control codes via external interfaces, enabling hardware-level customization for algorithms such as Grover search and variational quantum circuits.

How energy-efficient is MicroCloud Hologram HOLO’s quantum simulation hardware compared with GPU simulators?

According to MicroCloud Hologram, power consumption for processing 30-qubit systems is controlled within one-fifth of traditional GPU-based simulators. The efficiency comes from dedicated data paths, optimized buses, and tailored memory architectures that reduce unnecessary data movement and contention.

What future developments are planned for MicroCloud Hologram’s (NASDAQ: HOLO) quantum simulation platform?

The R&D team is exploring integration of neural network accelerators and programmable noise injection. According to MicroCloud Hologram, these additions aim to improve variational algorithm training and noise modeling, better reflecting noisy intermediate-scale quantum (NISQ) devices in classical simulations.

How strong is MicroCloud Hologram HOLO’s financial commitment to quantum and frontier technologies?

According to MicroCloud Hologram, cash reserves exceed 3 billion RMB, with plans to invest more than 400 million USD. The planned spending targets blockchain, quantum computing, quantum holography, artificial intelligence, AR, and related frontier technology derivatives and developments.