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Jul 18 at 17:26 vote accept SimoneGasperini
Jul 18 at 17:26 comment added SimoneGasperini Ok yes, I've already used the Gurobi solver for integer quadratic programming. Thank you again!
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Jul 18 at 16:31 comment added MonteNero @SimoneGasperini Simplex and its more advanced variants for quadratic problems combined with branch and bound (BB) or other methods for discretizing variables are considered to be "exact" if the BB method is exhaustive. In other words, you can be sure that the solution you got is proveably optimal. There are many advanced methods and solid theory for quad problems, just start looking into Integer programming, quadratic programming etc.
Jul 18 at 10:27 comment added SimoneGasperini That's why I thought simply taking the smallest eigenvalue of the diagonal Hamiltonian $H$ (and not the QUBO matrix $Q$, sorry again) could be a good idea. However, it's now clear that the diagonal of $H$ is just enumerating all the possible $\vec{x}_i^T Q \vec{x}_i$ so I guess there is no smarter approach than simply try all the $2^n$ configurations
Jul 18 at 10:15 comment added SimoneGasperini @MonteNero, thank you very much for the clear answer! I apologize for the confusion about the concept of analytical solution in math, by that I was actually meaning exact solution. So, what I'm interested in is not an heuristic classical solver but instead an approach to find the exact QUBO solution in a reasonable amount of time in practice (for small-size problems)
Jul 18 at 6:12 comment added MonteNero @MartinVesely, TY. It took me awhile.
Jul 18 at 6:06 comment added Martin Vesely Very well written! +1
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Jul 18 at 2:15 history answered MonteNero CC BY-SA 4.0