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Quantum-Assisted Optimization Guided by Machine-Learned Risk Maps for Aerial Surveillance Routing
Analog quantum computing with neutral atom computers is rapidly evolving into a promising way to perform combinatorial optimization tasks at scale. As technology matures, exploring real use cases leveraging such unique information processors becomes warranted; one example is logistics management whe
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