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shoo 1 hours ago [-]
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.
semireg 2 hours ago [-]
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.
BretonForearm 1 hours ago [-]
Spaghetti length is made visible (quickly comparable), but it's still not sorted.
King-Aaron 8 minutes ago [-]
It is sorted chronologically
muti 1 hours ago [-]
The abstract reads like copy for the Turbo encabulator
iterance 27 minutes ago [-]
The authors really must improve the abstract before publication.
CamperBob2 15 minutes ago [-]
Ising machines are interesting, but I don't understand the point of the SAW delay line at all. It doesn't act like an array of coupled oscillators or resonators, just an old-school circulating delay-line memory, right? The kind they used to build with mercury in the days before RoHS was a thing?
If the FPGA is doing the actual matrix math, why not just store the phases and amplitudes in its block RAM as well?
Also, since when is 300 MHz "microwave?"
infinitewars 1 hours ago [-]
[dead]
thisisauserid 3 hours ago [-]
tl;dr:
A new, stable computer uses sound waves to solve really hard puzzles.
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.
If the FPGA is doing the actual matrix math, why not just store the phases and amplitudes in its block RAM as well?
Also, since when is 300 MHz "microwave?"
A new, stable computer uses sound waves to solve really hard puzzles.
Not the game 2048. But yes, the game Sodoku.