The paper could be improved by including a strong classical non-Ising-machine solution approach as one of the methods benchmarked against.

E.g. take the same 8-core Ryzen machine they use to implement their simulated Ising Machine HbSB method & use it to run a standard classical solver as would be done industrially to tackle these kinds of problems outside of academia - perhaps an industrial grade commercial MIP solver (Gurobi) for those problem classes that are known to have reasonable MIP formulations, or a good constraint solver for Sudoku, etc.

Depending on how hard the specific test problem instances are, perhaps a commercial MIP solver would be able to solve some of these problems optimally & instantly using its black box of presolve witchcraft tricks.

Kind of like the “uncooked spaghetti length” sorting algorithm: gravity. Hold them in your fist vertically, let them gently fall to a flat surface. Sorted.

The abstract reads like copy for the Turbo encabulator

tl;dr:

A new, stable computer uses sound waves to solve really hard puzzles.

Not the game 2048. But yes, the game Sodoku.