Mixed-signal circuits and data converters Research goals: Both analog and digital-based Ising accelerators have emerged to solve combinatorial optimization problems. Yet, they have their own advantages, and no prior work has tried to combine them. Moreover, no accelerator has been developed to address real-world problems such as MIMO.
Gap in the SotA: State-of-the-art analog Ising accelerators show fast convergence but lack a mechanism to escape local minima due to insufficient randomness. In contrast, digital Ising accelerators suffer from slow computation due to their synchronous nature.
Result: This project aims to develop a mixed-signal Ising accelerator for MIMO applications, enabling both fast convergence and sufficient randomness.
