MicroAlgo Inc. Develops Classical Boosted Quantum Optimization Algorithm (CBQOA)

Core Idea - MicroAlgo Inc. has developed the Classical Boosted Quantum Optimization Algorithm (CBQOA), which combines classical and quantum computing to solve constrained optimization problems more efficiently [1][10]. Technology Overview - CBQOA integrates classical optimization methods with quantum computing techniques, allowing for effective solutions to combinatorial optimization problems without altering the cost function [1][10]. - The algorithm first uses classical methods to identify high-quality feasible solutions, which are then refined using quantum computing [3][10]. Classical Optimization Techniques - Efficient classical optimization algorithms such as greedy algorithms, heuristic algorithms, and simulated annealing are employed initially to generate feasible solutions [4][10]. - Specific classical strategies can be tailored to different problems, such as using heuristic algorithms for the Maximum Cut Problem and greedy algorithms for the Maximum Independent Set Problem [5][4]. Quantum Computing Integration - After classical optimization, CBQOA utilizes Continuous-Time Quantum Walk (CTQW) to search the solution space, enhancing the efficiency of the search process [6][10]. - CTQW allows quantum states to propagate within the feasible solution space, reducing ineffective searches and increasing the likelihood of finding the global optimum [7][10]. Practical Applications and Impact - The introduction of CBQOA is expected to advance quantum computing from theoretical research to real-world applications, particularly in industries facing complex optimization challenges [11]. - The algorithm is anticipated to become a core component of next-generation optimization algorithms, fostering interdisciplinary research across fields such as computer science, operations research, and artificial intelligence [11][10]. Company Background - MicroAlgo Inc. specializes in developing bespoke central processing algorithms and offers solutions that enhance customer satisfaction, reduce costs, and improve technical performance [12].