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Hybrid Quantum-Classical Algorithm Enhancements for Optimization

机译:Hybrid量子 - 经典算法优化的增强功能

摘要

A method of enhancing a hybrid quantum-classical algorithm for combinatorial optimization involves running a variant algorithm on a quantum processor, which is a subset of a set of solutions (solution space) of the variant algorithm. The variation algorithm calculates the quantum state of the quantum system corresponding to the combination optimization problem, each solution in the subset has a corresponding value, and this method further , Sorting a subset of solutions according to sorting criteria, and separating parts of a subset of solutions based on this sort, the value corresponding to each solution in this part depends on the threshold. Within the defined boundaries, this method further includes calculating the average value of the solution from a portion of the subset of the solution, and including a solution that is the second subset of the solution and has values within the boundary. It involves modifying the subdivision algorithm to produce a second subset.
机译:一种增强组合优化算法的一种方法涉及在量子处理器上运行变型算法,这是变量算法的一组解决方案(解决方案空间)的子集。 变形算法计算对应于组合优化问题的量子系统的量子状态,子集中的每个解决方案都具有相应的值,并且此方法进一步,根据分类标准对解决方案的子集进行排序,并分离部分子集 基于此的解决方案,对应于该部分中的每个解决方案的值取决于阈值。 在定义边界内,该方法还包括从解决方案的子集的一部分计算解决方案的平均值,并且包括作为解决方案的第二子集的解决方案并且在边界内具有值。 它涉及修改细分算法以产生第二子集。

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