MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve New Ideas

Core Viewpoint - MicroAlgo Inc. has announced the development of the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to enhance combinatorial optimization problems by utilizing quantum computing capabilities [1][7]. Group 1: Algorithm Overview - The QIRO algorithm is designed to tackle complex combinatorial optimization problems by integrating quantum computing and recursive algorithms, leveraging parallel computing and quantum state properties [1][7]. - The algorithm recursively invokes quantum optimization processes, progressively reducing problem size to find optimal solutions [4][7]. Group 2: Technical Process - The first step involves modeling the combinatorial optimization problem by defining the objective function, constraints, and candidate elements [2]. - Quantum states are initialized through quantum gate operations, allowing for simultaneous processing of multiple computational paths [3]. - Quantum measurement is performed at the recursion's boundary conditions to extract optimal or near-optimal solutions [5]. - The extracted solution is verified and optimized by comparing objective function values to identify the best solution [6]. Group 3: Advantages and Applications - The QIRO algorithm demonstrates significant technical advantages, achieving exponential improvements in computational efficiency and stronger global search capabilities compared to traditional algorithms [7]. - It is flexible and can be tailored to meet specific problem requirements, enhancing its effectiveness across various applications [7]. - The algorithm has practical applications in logistics, resource allocation, network planning, and graph theory-related problems, proving its value in real-world scenarios [8]. Group 4: Future Potential - The QIRO algorithm holds immense growth potential as quantum technology advances, improving the quality and accessibility of quantum resources [9][10]. - It may serve as a model for developing additional hybrid quantum-classical algorithms, expanding quantum computing applications across various industries [10]. Group 5: Company Background - MicroAlgo Inc. is dedicated to developing and applying bespoke central processing algorithms, providing comprehensive solutions that enhance customer satisfaction and achieve technical goals [11].