utilop t1_ironow2 wrote on October 9, 2022 at 9:18 PM

Reply to comment by Less-Article1309 in [D] Quantum ML promises massive capabilities, while also demanding enormous training compute. Will it ever be feasible to train fully quantum models? by avialex

Why did this get downvoted?

Is there some fundamental limitation implying that we would have to rely on SGD and cannot do the optimization through superposition?

Less-Article1309 t1_irrjhfe wrote on October 10, 2022 at 2:30 PM

There's plenty of other optimization methods out there, simulated annealing for example. SGD just lends itself well to the massively parallel architecture of Nvidia GPUs, that's the only reason why it's so prevalent in the industry.