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Significant progress in the construction of physical hardware for quantumcomputers has necessitated the development of new algorithms or protocols forthe application of real-world problems on quantum computers. One of theseproblems is the power flow problem, which helps us understand the generation,distribution, and consumption of electricity in a system. In this study, thesolution of a balanced 4-bus power system supported by the Newton-Raphsonmethod is investigated using a newly developed dissipative quantum neuralnetwork hardware. This study presents the findings on how the proposed quantumnetwork can be applied to the relevant problem and how the solution performancevaries depending on the network parameters.

Application of Power Flow problem to an open quantum neural hardware