1 research outputs found
Application of Power Flow problem to an open quantum neural hardware
Significant progress in the construction of physical hardware for quantum
computers has necessitated the development of new algorithms or protocols for
the application of real-world problems on quantum computers. One of these
problems is the power flow problem, which helps us understand the generation,
distribution, and consumption of electricity in a system. In this study, the
solution of a balanced 4-bus power system supported by the Newton-Raphson
method is investigated using a newly developed dissipative quantum neural
network hardware. This study presents the findings on how the proposed quantum
network can be applied to the relevant problem and how the solution performance
varies depending on the network parameters.Comment: 5 Figures, 6 Page