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Formulation of the Social Workers’ Problem in Quadratic Unconstrained Binary Optimization Form and Solve It on a Quantum Computer

机译:在二次无约束二元优化形式中制定社会工作者问题,并在量子计算机上解决

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The problem of social workers visiting their patients at home is a class of combinatorial optimization problems and belongs to the class of problems known as NP-Hard. These problems require heuristic techniques to provide an efficient solution in the best of cases. In this article, in addition to providing a detailed resolution of the social workers’ problem using the Quadratic Unconstrained Binary Optimization Problems (QUBO) formulation, an approach to mapping the inequality constraints in the QUBO form is given. Finally, we map it in the Hamiltonian of the Ising model to solve it with the Quantum Exact Solver and Variational Quantum Eigensolvers (VQE). The quantum feasibility of the algorithm will be tested on IBMQ computers.
机译:在家中访问他们的患者的社会工作者的问题是一类组合优化问题,属于称为NP-HARD的问题。这些问题需要启发式技术在最好的情况下提供有效的解决方案。在本文中,除了使用二次无约会二进制优化问题(QUBO)制定的社会工作者的详细解决社会工作者的问题之外,还给出了一种映射QUBO表单中不等式约束的方法。最后,我们将其映射到ISING模型的Hamiltonian中,以用量子精确的求解器和变分量子Eigensolvers(VQE)来解决。算法的量子可行性将在IBMQ计算机上进行测试。

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