Solving a task of optimal route search may be challenging for conventional algorithms. Here, authors use tunable random signals from magnetic tunnel junctions to improve a probabilistic greedy Traveling Salesman Problem solver to better balance exploration and efficiency, and make it applicable for larger problems.
- Ran Zhang
- Xiaohan Li
- Xiufeng Han
