SHENZHEN, China, Jan. 2, 2025
/PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo")
(NASDAQ: MLGO), today announced the development of an
innovative hybrid algorithm that combines the advantages of
classical and quantum computing to optimize Multi-Query
Optimization (MQO) problems.
Quantum computing is a technology that uses the principles of
quantum mechanics to process information. Compared to traditional
classical computers, quantum computers exhibit the potential to
outperform classical computers in handling certain types of
problems, such as search, optimization, and simulating quantum
systems. However, the realization of quantum computers faces
technical challenges, particularly in constructing quantum
computers with a sufficient number of qubits and low error
rates.
The Multi-Query Optimization (MQO) problem is a class of
data-intensive problems that are NP-hard, and it has applications
in many fields such as database query optimization, machine
learning algorithms, and network routing. The core of the MQO
problem lies in how to effectively handle multiple query requests
to minimize the overall computational cost or time.
Although quantum computers theoretically have tremendous
potential, current quantum computers are far from being fully
practical. The limited number of qubits and high error rates
restrict their ability to solve large-scale problems. To address
these issues, MicroAlgo has proposed a hybrid algorithm that
combines the stability of classical computers with the efficiency
of quantum computers.
MicroAlgo's hybrid algorithm design is based on the following
key points:
Efficient Use of Qubits: Through carefully designed quantum
circuits, the algorithm ensures efficient utilization of qubits,
achieving a qubit efficiency close to 99%.
Reduction of Error Rates: By integrating error correction
mechanisms from classical algorithms, the error rate during the
quantum computation process is significantly reduced.
Scalability of the Algorithm: The algorithm design by MicroAlgo
takes scalability into account, enabling it to adapt to problems of
varying sizes.
Compatibility with Existing Technologies: MicroAlgo's algorithm
is compatible with existing gate-based quantum computers, meaning
it can run on current hardware.
MicroAlgo's hybrid algorithm first transforms the MQO problem
into a form that can be handled by quantum computing. Quantum
circuits are designed to perform the necessary quantum operations,
including quantum state preparation, application of quantum gates,
and quantum measurement. Then, during the quantum computation
process, classical computers are used to assist the quantum
computation, such as in qubit error correction and post-processing
of the results. Through experiments and simulations, the
algorithm's performance is continuously optimized to ensure optimal
performance with limited qubit resources.
MicroAlgo has conducted detailed experimental evaluations of the
algorithm, including testing its performance on problems of various
scales. The experimental results show that, despite the current
limitations in qubit numbers, our algorithm is still able to handle
smaller-scale problems and demonstrate a qubit efficiency close to
99%. Compared to quantum computers based on quantum annealing,
MicroAlgo's algorithm shows a significant improvement in
efficiency.
In exploring the vast field of quantum computing, MicroAlgo's
hybrid algorithm represents an innovative solution that combines
the stability of classical computing with the efficiency of quantum
computing to address the challenges of Multi-Query Optimization
(MQO). Through carefully designed quantum circuits and algorithmic
optimizations, the algorithm not only improves qubit utilization
efficiency but also significantly reduces error rates, enabling it
to run on existing quantum hardware while maintaining scalability
for large-scale problems. This achievement marks a significant step
forward in the practical realization of quantum computing.
With the ongoing advancements in quantum technology, there is
every reason to believe that MicroAlgo's hybrid algorithm will play
an even more important role in the future. As quantum computer
hardware improves and the number of qubits increases, the algorithm
will be able to tackle larger-scale problems, unlocking greater
potential in fields such as chemistry, physics, and machine
learning.
MicroAlgo's hybrid algorithm is not only a major breakthrough in
existing technology but also a powerful outlook on the future
applications of quantum computing. We firmly believe that, through
continuous research and innovation, quantum computing will
gradually transition from theory to practice, becoming a powerful
driver of technological progress and societal development. We look
forward to a future where quantum computing will bring even more
surprises and possibilities, opening a new era of computing.
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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SOURCE Microalgo.INC