This invention describes a computer system designed to tackle difficult problems by repeatedly trying out potential solutions. It uses smart trial-and-error methods, called heuristic optimizers, to generate many possible answers, then checks how good they are. The system decides whether to continue or modify its approach by comparing results to a satisfaction condition or checking if it has reached a set number of attempts.
Why it matters: Filed when quantum computing was largely theoretical, the intervening decade has seen the emergence of more accessible quantum processors and sophisticated AI for autonomous system optimization, making the proposed hybrid approach more feasible.
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