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.
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