Summary
The exponential growth of amorphous data needed to solve real-time industrial and commercial problems is rapidly outpacing the sluggish advancements of Silicon technology, thereby warranting discoveries of revolutionary non-Boolean architectures and algorithmic paradigms. This project tackles these emerging challenges by exploring, enhancing, and utilizing novel quantum-inspired architecture, relaxation based dynamical Ising machines (RDIM), which introduce a new approach to representing and solving data-processing problems. The research will lay the foundations for a full-range implement