# MicroAlgo Inc. Develops a Reconfigurable Simulation Technology of High-Precision, High-Throughput Scalable Quantum Algorithms

- Link: https://www.thailand-business-news.com/pr-news/microalgo-inc-develops-a-reconfigurable-simulation-technology-of-high-precision-high-throughput-scalable-quantum-algorithms
- Published: 2026-06-04T22:55:00+07:00
- Author: PR Newswire

SHENZHEN, China, June 4, 2026 /PRNewswire/ — MicroAlgo Inc. (the "Company" or "MicroAlgo")(
NASDAQ: MLGO), today announced the development of an innovative high-precision, 
high-throughput reconfigurable simulation technology, aimed at providing effective
solutions for the research and application of quantum algorithms.

The core of quantum computing lies in quantum bits (qubits), which can represent
multiple states simultaneously, achieving parallel computing capabilities through
quantum phenomena such as superposition and entanglement. However, the practical
implementation of quantum computers is still in its early stages, facing numerous
technical challenges. Currently, mainstream quantum computers, such as those based
on superconducting qubits and ion traps, remain imperfect in terms of the number
of qubits and error correction capabilities, making large-scale quantum computing
difficult. Therefore, simulating quantum algorithms on classical computing platforms
has become an important research approach. Through classical simulation, researchers
can gain a deep understanding of the characteristics and performance of quantum 
algorithms, providing strong support for the development and application of actual
quantum computers.

Traditional quantum algorithm simulation methods are typically based on the quantum
circuit model, simulating the operation of each quantum gate step by step. While
this approach is intuitively easy to understand, its computational complexity and
resource demands grow exponentially when handling a large number of qubits, resulting
in low simulation efficiency, significant hardware resource consumption, and excessively
long simulation times. Therefore, developing efficient quantum algorithm simulation
technology has become an urgent need.

MicroAlgo has proposed a reconfigurable simulation technology for quantum algorithms
with high precision and high throughput. This technology is primarily based on two
innovative simulation models: the arithmetic operation simplification model and 
the nuclear operation iteration model. The arithmetic operation simplification model
reduces the complexity of quantum state operations by transforming the functionality
of quantum circuits into basic arithmetic operations (such as multiplication and
accumulation). MicroAlgo represents common quantum gate operations as equivalent
arithmetic operations and uses precomputation and lookup table methods to quickly
obtain the results of these operations. For complex operations, a dynamic generation
approach is adopted, producing intermediate results as needed. This method not only
reduces computational complexity but also enhances the computational speed and throughput
of the simulation through parallel processing.

The nuclear operation iteration model, on the other hand, extracts the key operations
of a quantum circuit and focuses on processing changes in quantum states, thereby
avoiding the complex process of step-by-step simulation of the entire circuit. MicroAlgo
first analyzes the quantum circuit to identify the key operations that have the 
greatest impact on quantum state evolution, then performs nuclear operation iterations
on all input quantum states. This approach not only simplifies the computational
process but also significantly improves simulation efficiency. By optimizing the
design of the extracted nuclear operations and employing parallel processing methods,
the simulation speed and throughput are further enhanced.

To fully leverage the advantages of these two simulation models, MicroAlgo has adopted
a reconfigurable hardware architecture for the implementation of the simulator. 
The reconfigurable technology enables flexible allocation and utilization of hardware
resources through dynamic hardware configuration adjustments, allowing the simulator
to dynamically adjust the allocation of computing units and storage resources based
on the requirements of different quantum algorithms, thereby improving the efficiency
of hardware resource utilization. Additionally, to ensure the numerical precision
of simulation results, MicroAlgo’s (NASDAQ: MLGO) simulator supports single-precision
floating-point operations. Floating-point operations offer higher numerical precision
and computational flexibility, making them suitable for handling complex quantum
states and operations. Through a fully pipelined design, the simulator’s various
computing units can continuously process data without interruption, further enhancing
simulation efficiency and throughput.

To validate the performance of the simulation models and hardware architecture, 
MicroAlgo conducted simulation experiments on several classic quantum algorithms,
including the Quantum Fourier Transform (QFT) and quantum wavelet transform. The
experimental results demonstrate that MicroAlgo’s proposed simulation models significantly
outperform traditional methods in terms of resource utilization and simulation time.
For example, in the simulation experiments of the Quantum Fourier Transform, the
arithmetic operation simplification model and the nuclear operation iteration model
achieved a more efficient simulation process by reducing computational complexity
and focusing on processing key operations, respectively. In the simulation of the
quantum wavelet transform, MicroAlgo’s simulator, through its fully pipelined design
and parallel processing, significantly reduced resource consumption and simulation
time, proving its superiority in handling complex quantum algorithms.

As quantum computing research continues to advance, quantum algorithms are showing
broad application prospects in fields such as scientific computing, cryptography,
and materials science. This simulation technology provides strong support for the
research and application of quantum algorithms, not only accelerating the development
and testing of quantum algorithms but also laying the foundation for the practical
application of quantum computers. In the field of scientific computing, quantum 
algorithms can significantly improve the efficiency of solving complex problems.
MicroAlgo’s simulation technology enables researchers to efficiently simulate quantum
algorithms on classical platforms, accelerating the development and validation of
new algorithms and providing more possibilities for scientific computing.

MicroAlgo’s high-precision, high-throughput reconfigurable simulation technology
for quantum algorithms has significant applications in the field of quantum computing
cryptography, particularly in breaking traditional encryption algorithms. Through
efficient simulation technology, researchers can test and optimize quantum cryptographic
algorithms on classical platforms, enhancing the security and practicality of cryptography.
Additionally, quantum algorithms hold broad application prospects in materials science,
enabling the simulation and optimization of the quantum properties of materials.
MicroAlgo’s simulation technology can assist researchers in efficiently simulating
the quantum behavior of materials on classical platforms, promoting the discovery
and application of new materials.

MicroAlgo’s high-precision, high-throughput reconfigurable simulation technology
for quantum algorithms provides innovative solutions for the research and application
of quantum computing. By integrating the arithmetic operation simplification and
nuclear operation iteration simulation models, combined with reconfigurable technology,
single-precision floating-point operations, and a fully pipelined design, the simulator
achieves significant optimizations in resource utilization and simulation time. 
Experimental results demonstrate the feasibility and superiority of the simulator
in running and testing various quantum algorithms. In the future, as quantum computing
technology continues to advance, MicroAlgo’s simulation technology will continue
to play a crucial role, providing robust support for the research and practical 
application of quantum algorithms, and driving the arrival of the quantum computing
era.

**About MicroAlgo Inc.**

MicroAlgo Inc. (the "MicroAlgo"), a Cayman Islands exempted company, is dedicated
to the development and application of bespoke central processing algorithms. MicroAlgo
provides comprehensive solutions to customers by integrating central processing 
algorithms with software or hardware, or both, thereby helping them to increase 
the number of customers, improve end-user satisfaction, achieve direct cost savings,
reduce power consumption, and achieve technical goals. The range of MicroAlgo’s 
services includes algorithm optimization, accelerating computing power without the
need for hardware upgrades, lightweight data processing, and data intelligence services.
MicroAlgo’s ability to efficiently deliver software and hardware optimization to
customers through bespoke central processing algorithms serves as a driving force
for MicroAlgo’s long-term development.

**Forward-Looking Statements**

This press release contains statements that may constitute "forward-looking statements."
Forward-looking statements are subject to numerous conditions, many of which are
beyond the control of MicroAlgo, including those set forth in the Risk Factors section
of MicroAlgo’s periodic reports on Forms 10-K and 8-K filed with the SEC. Copies
are available on the SEC’s website, [www.sec.gov](http://www.sec.gov/). Words such
as "expect," "estimate," "project," "budget," "forecast," "anticipate," "intend,""
plan," "may," "will," "could," "should," "believes," "predicts," "potential," "continue,"
and similar expressions are intended to identify such forward-looking statements.
These forward-looking statements include, without limitation, MicroAlgo’s expectations
with respect to future performance and anticipated financial impacts of the business
transaction.

MicroAlgo undertakes no obligation to update these statements for revisions or changes
after the date of this release, except as may be required by law.

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