论文标题
电力网络优化：量子方法
Power network optimization: a quantum approach
论文作者
论文摘要
电力盈余的优化是传输电网降低成本并有效地使用整个网络上的电力的关键要素。在本文中，我们展示了如何通过量子退火优化这种网络。首先，我们定义了网络分区的QUBO问题，并测试纯量子和混合体系结构的实现。然后，我们在D-WAVE混合CQM和BQM求解器以及Azure量子云上可用的经典求解器上解决了问题。最后，我们表明，混合方法在解决方案的质量方面表现出色，因为发现量子解决方案的目标函数的值始终低于一组不同问题大小的经典方法。
Optimization of electricity surplus is a crucial element for transmission power networks to reduce costs and efficiently use the available electricity across the network. In this paper we showed how to optimize such a network with quantum annealing. First, we define the QUBO problem for the partitioning of the network, and test the implementation on purely quantum and hybrid architectures. We then solve the problem on the D-Wave hybrid CQM and BQM solvers, as well as on classical solvers available on Azure Quantum cloud. Finally, we show that the hybrid approaches overperform the classical methods in terms of quality of the solution, as the value of the objective function of the quantum solutions is found to be always lower than with the classical approaches across a set of different problem size.
