Formulating Optimal Power Flow Problems is well- known since the 1960s, but solving those problems to global optimality is challenging until today, due to the nonconvex characteristic of the embedded ...

Abstract: The benefits of the quantum Monte Carlo algorithm heavily rely on the efficiency of the superposition state preparation. So far, most reported Monte Carlo algorithms use the Grover–Rudolph ...