subslover
11時間前
MicroAlgo Inc. Develops Hybrid Classical-Quantum Algorithms to Optimize Multi-Query Problems
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 a
subslover
2日前
MicroAlgo Inc. Announces the Launch of FULL Adder Operation Quantum Algorithm Technology Based on CPU Registers in Quantum Gate Computing
SHENZHEN, China, Dec. 31, 2024 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the successful development of a groundbreaking quantum algorithm technology, specifically a FULL adder operation based on CPU registers in quantum gate computers. This innovative technology brings new possibilities to the development of quantum computing. It not only significantly enhances the efficiency and accuracy of quantum computers when performing complex computational tasks but also opens new pathways for the design and implementation of quantum gate computers.
In classical computing, computers represent data and perform computations using bits (0 or 1). At any given moment, each bit can only be in one of two states: "0" or "1." Quantum computers, on the other hand, are different. Their fundamental unit of computation—the quantum bit (qubit)—can exist in a superposition of both "0" and "1" states simultaneously. By leveraging this property, quantum computers can solve certain problems much faster than classical computers.
A Quantum Gate Computer is a model of quantum computing that performs computational operations by applying quantum gates to qubits. Quantum gates are similar to classical logic gates, but their operations extend beyond binary bit manipulations to include more complex transformations of qubits.
In quantum computers, managing and manipulating qubits has always been a key challenge and focus of technological development. Similar to classical computers, quantum computers also require registers to store and process data. In the latest technology developed by MicroAlgo, they have successfully implemented the FULL adder operation using CPU registers based on quantum gate computers.
A FULL adder is a fundamental arithmetic unit in classical digital circuits, used to perform the addition of two or more binary numbers. In classical computers, the design and implementation of a FULL adder are relatively simple, as it only deals with fixed binary bits. However, in quantum computing, the situation is much more complex due to the properties of qubits, such as superposition and quantum entanglement.
The quantum algorithm technology developed by MicroAlgo allows quantum computers to efficiently handle complex arithmetic tasks by implementing FULL adder operations in a quantum gate computer. The core of this innovative technology lies in how quantum gates and qubit properties are leveraged to simulate and perform FULL adder operations. With this technology, quantum computers can achieve faster computation speeds and higher computational accuracy when performing addition operations, taking advantage of quantum parallelism and quantum entanglement.
This technology, developed by MicroAlgo, is based on the classical Bernstein-Vazirani algorithm. The Bernstein-Vazirani algorithm is an important algorithm in quantum computing, capable of determining a hidden bit string with a single quantum query—something that would require multiple queries in classical computing.
In MicroAlgo's implementation, they use the Bernstein-Vazirani algorithm to demonstrate a simple memory example called a register. Registers in quantum computers function similarly to those in classical computers, used for temporary storage and processing of data. Unlike classical computers, however, quantum computer registers can store multiple states (superposition) simultaneously, which gives quantum computers higher parallelism and efficiency when performing certain specific tasks.
Through the Bernstein-Vazirani algorithm, MicroAlgo has successfully designed a quantum register that is easy to physically access. This register not only efficiently stores and processes qubits, but it can also implement the functionality of a FULL adder through quantum gate operations. This innovative design lays a solid foundation for the practical application of quantum computers.
The quantum algorithm technology developed by MicroAlgo, based on FULL adder operations in CPU registers of quantum gate computers, has broad application prospects. First, this technology can significantly improve the efficiency and accuracy of quantum computers when handling complex arithmetic tasks. In particular, in fields like large-scale data processing, encryption and decryption, and optimization problems, the performance advantages of quantum computers will be fully realized.
Furthermore, this technology provides new insights for the design and implementation of quantum computers. By combining classical computing concepts such as registers and FULL adder operations with quantum computing elements like quantum gates and qubits, MicroAlgo has successfully developed a quantum algorithm technology with practical application value. This not only provides technical support for the further development of quantum computers but also lays the foundation for their widespread use.
Despite the significant progress made with this technology, the realization of quantum computing still faces numerous challenges. First, the hardware design and manufacturing of quantum computers remain a technical difficulty. Achieving stable qubits and effectively managing quantum entanglement and superposition states are key issues that need to be addressed in the practical application of quantum computers. Additionally, the design of quantum algorithms needs further development. In other fields and application scenarios, more quantum algorithms are still needed to support the broader adoption of quantum computing.
The widespread adoption of quantum computing also requires overcoming obstacles beyond just technology. Currently, research in quantum computing is mainly concentrated in academia and a few technology companies. The challenge moving forward will be how to translate these research outcomes into practical applications and promote the commercialization of quantum computing.
Despite these challenges, the innovative technology developed by MicroAlgo (NASDAQ: MLGO) undoubtedly offers new possibilities for the future development of quantum computing. With continuous technological advancement and the expansion of application scenarios, quantum computing will play an increasingly important role in the future technological revolution. Through ongoing technological innovation and research investment, the company will continue to lead the development of quantum computing, contributing to the progress of global computing technology.
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.
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