Flexibly Controllable Dynamic Cooling Methods for Solid-State Annealing Processors to Improve Combinatorial Optimization Performance

Abstract

A recently proposed dynamic cooling method enables automatic pseudo-temperature control in the computing process on solid-state annealing processors. Though it may be a practical approach to improve the optimization performance, its effectiveness has been verified only on one annealing policy. On the other hand, another work has claimed that annealing computation can speed up by adaptively utilizing multiple policies. In this paper, we propose a flexibly controllable dynamic cooling method effective for various policies, followed by a method to reduce the sampling frequency on an annealing system. Simulation results have demonstrated that our approach works well for several policies and can be introduced into annealing processors efficiently.