Spatial computing architecture using randomness of memory cell stability under voltage control

A new computing architecture based on a ground-state search of the Ising model and the probabilistic behavior of a memory cell is proposed. To improve computer performance, a spatial computing architecture that defines an Ising model as the interface between software and hardware is proposed. Various problems can be represented as a spatial parameter in the Ising model. A memory-cell-array-based hardware is utilized to search for the ground state of the Ising model. The interaction between memory cells produces a state transition to lower energy, and the randomness of memory-cell stability at lower voltage helps escape from a local minimum. It was verified by simulation that the proposed architecture can solve practical problems such as factorization and the traveling-salesman problem.