Project supported by the National Natural Science Foundation of China(Grant No.61173050)
A perturbation method is applied to study the structure of the ground state of the adiabatic quantum optimization for the exact cover 3 problem. It is found that the instantaneous ground state near the end of the evol...
supported by the National Natural Science Foundation of China (Grant No. 61173050)
In this context,we study three different strategies to improve the time complexity of the widely used adiabatic evolution algorithms when solving a particular class of quantum search problems where both the initial an...
Project supported by the National Natural Science Foundation of China(Grant No.61173050)
Recently, Zhang and Lu provided a quantum search algorithm based on partial adiabatic evolution, which beats the time bound of local adiabatic search when the number of marked items in the unsorted database is larger ...