AWS describes a telecom backhaul planning case—a classic NP-hard problem—showing how quantum algorithms can complement classical methods to evaluate upgrade choices and reduce planning time. It’s a concrete operations example, not just lab theory.
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The pattern
Frame a tightly scoped optimization problem, compare classical baselines
with quantum/quantum-inspired heuristics, and measure cost vs. quality
trade-offs—exactly the kind of pilot Q-Bit productizes.