Static voltage stability index is introduced in the traditional reactive power optimization model to set up an optimization model with minimum loss.Quantum genetic algorithm（QGA） is to introduce quantum state vector into genetic code.Quantum bit probability amplitude is applied to chromosome coding to achieve evolution of the chromosome and the effect is better than the conventional algorithm

but the evolution speed and direction are determined by the selection of the quantum gate angle in conventional quantum algorithm and the final optimization effect is affected by it.In this paper

an improved quantum rotation gate algorithm is proposed which can adaptively compute the rotation angle

improve the global search ability

reduce search algebra

speed up the search speed and

at the same time

avoid falling into local optimum.Then

it is verified with IEEE 14 and IEEE 30 nodes with better result.