SHENZHEN, China, March 14, 2025 /PRNewswire/ — MicroAlgo Inc. (the “Company” or “MicroAlgo”) (NASDAQ: MLGO), today announced that their research and development team has improved the stability and practicality of the algorithm by optimizing the quantum circuit design, reducing the qubit error rate, which enhances the performance of the Grover algorithm in real-world applications. Throughout the entire technical process, MicroAlgo focuses on the stability and practicality of the algorithm. Through meticulous quantum circuit design and efficient quantum programming tools, they ensure that the Grover algorithm performs excellently in practical applications.
Quantum State Initialization: The quantum bit system is initialized into an equal superposition state, where each qubit represents an element in the database. This step serves as the starting point for the quantum search algorithm and demonstrates quantum parallelism.
Oracle Function Design: The Oracle function is a key component of the Grover algorithm, used to mark the target information. When the input is the target information, the Oracle function outputs a specific quantum state; otherwise, it keeps the original state. Through the Oracle function, the algorithm can identify the target information, providing a foundation for subsequent interference enhancement.
Quantum Interference Enhancement: After the Oracle function is applied, the algorithm uses a series of quantum gate operations to enhance the probability of the target path while suppressing the probabilities of non-target paths. This process leverages the principle of quantum interference, causing the target information to gradually become more pronounced after multiple iterations.
Measurement and Result Extraction: After a certain number of iterations, the algorithm measures the quantum bit system, and the result obtained is the index of the target information. Due to the randomness of quantum measurement, multiple measurements can improve the accuracy of the result.
Algorithm Optimization and Iteration: Based on the measurement results, the algorithm makes adaptive adjustments to optimize the quantum circuit design and improve search efficiency. This process is iterative; through continuous learning and optimization, the algorithm gradually approaches the optimal solution.
Compared to classical search algorithms, the Grover algorithm theoretically reduces the search complexity to O(√N), providing exponential speedup when processing large-scale unordered databases. It can find the target information in a shorter time, greatly improving search efficiency. By optimizing the quantum circuit design and utilizing the principle of quantum superposition, MicroAlgo enables qubits to exist in multiple states simultaneously, allowing the algorithm to operate on multiple database elements at once, achieving parallel search and further increasing the search speed. Quantum computing, in certain cases, also offers lower energy consumption advantages. While Grover’s algorithm enables efficient searching, it may consume less energy than traditional computing methods, aligning with the current trend of energy conservation and environmental sustainability.
The Grover quantum search algorithm can quickly search for specific records or information in large databases, such as rapidly querying customer databases in large enterprises or transaction record databases in financial institutions, thus improving business processing efficiency.
With the increase in the number of qubits, continuous advancements in quantum chip manufacturing technology, and ongoing optimization of quantum algorithms, MicroAlgo’s research on the Grover quantum search algorithm is expected to be applied and promoted in more fields, enabling more complex and efficient information search and processing tasks. In the future, this algorithm may be combined with other quantum and classical algorithms to form more powerful computational tools, providing more effective solutions to various practical problems and promoting the widespread application and development of quantum computing technology across various fields. At the same time, the security and reliability of quantum computing will also be further enhanced to meet the demands of practical applications.
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. 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.
